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The Internationalization Paradigm of the Portuguese Firms (IPPF) _______________________________________________________________________________
Bruno Abrantes i
The internationalization paradigm and dynamic capabilities of
Portuguese firms: Contributions from case studies in the
Metallurgical and Metal-Mechanic Sectors
Bruno Tadeu Fernandes Abrantes
Thesis submitted as a partial requirement to obtain the degree of
Doctor in Management
Specialization in Strategy and Entrepreneurship
Supervisor:
Prof. Nelson José dos Santos António, Full Professor,
ISCTE – IUL, Department of Marketing, Operations and General Management
Co-Supervisor:
Prof. Miguel Torres Preto, Associate Professor
Instituto Superior Técnico – Universidade de Lisboa, Department of Engineering and
Management
December 2017
The internationalization paradigm and dynamic capabilities of Portuguese firms __________________________________________________________________________________
Bruno Abrantes ii
Composition of the Jury:
President:
Doctor Fernando Alberto Freitas Ferreira, Assistant Professor, ISCTE-IUL
Vowels:
Doctor Ana Margarida Madureira Simaens, Assistant Professor, ISCTE-IUL
Doctor Hugo Emanuel dos Reis Sales da Cruz Pinto, Assistant Professor, Universidade do Algarve
Doctor João Manuel do Freixo Pereira, Associate Professor, ISCAL
Doctor Miguel Simões Torres Preto, Associate Professor, Instituto Superior Técnico (co-supervisor)
Doctor Nelson José dos Santos António, Full Professor, ISCTE-IUL (supervisor)
The internationalization paradigm and dynamic capabilities of Portuguese firms __________________________________________________________________________________
Bruno Abrantes iii
RESUMO
Esta pesquisa mergulha na esfera microeconómica do setor secundário, visando iluminar os
paradigmas de internacionalização das empresas Portuguesas. Um estudo de caso é conduzido nas
empresas focais centrado no vértice estratégico. Uma revisão da literatura é realizada nos campos
interdisciplinares das ciências económicas e da gestão, com uma focagem dualística no modelo
processual de internacionalização de Uppsala e, comitantemente, na teoria das capacidades
dinâmicas.
No contexto da indústria, o estudo centra-se no setor da metaurgia e metalomecânica. É seguido um
design comparativo, com uma configuração de caso múltiplo e unidades de análise incorporadas. Este
enquadra-se numa abordagem qualitativa e posição filosófica interpretativista, com uma orientação
dedutiva. A análise de dados está enraizada num quadro metodológico triádico: o procedimento
analítico geral de Miles e Huberman (1984), o protocolo de Weber (1990) e o quadro de referência
de Gioia (2009).
Os casos exibem uma realidade de internacionalização multiparadigmática, com heterogeneidade
entre si e sobreposição dimensional de alguns fenómenos, aderindo de forma distinta ao modelo de
Uppsala e à teoria das capacidades dinâmicas. Em segundo lugar, os construtos seminais abordados
na problemática de partida revelam efeitos distintos. Verificou-se uma relação positiva entre os
paradigmas de internacionalização observados e os fatores de distância psíquica. Os fatores de
distância geográfica, observam um efeito ambidexteriano (relação positiva e de espúrio). A última é
causada pelo fenómeno contingencial de perificidade económica (com raízes nas teorias Ricardiana
e Smithiana da competividade nacional e absoluta) revelando uma necessidade latente de polítcas
públicas para restaurar o equilíbrio de forças com os outros mercados da UE e estimular os fluxos de
investimento para o exterior. Terceiro, as capacidades dinâmicas (CDs tipo 1 e 2) revelam processos
de reconfiguração orientados para a ambidexteridade internacional, porquanto as CD globais
demonstram sinais de mutabilidade e transferabilidade bidireccional para múltiplos pontos de destino.
Palavras-chave: Internacionacionalização; modelo de Uppsala; capacidades dinâmicas (CD);
capacidades dinâmicas globais (CDG); transferabilidade de CD; mutabilidade de CD.
Classificação JEL: D22; F14; F20
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Bruno Abrantes iv
ABSTRACT
This research plunges into the microeconomic orb of the Portuguese economy of the secondary sector,
aiming to illuminate the internationalization paradigms of these firms. A case research is conducted
upon the focal firms focused on their strategic apex. A literature review is performed in the
interdisciplinary fields of economics and managerial sciences, dualistically centered on the
internationalization process model of Uppsala, and commitantly, at the dynamic capabilities theory.
In the context of the manufacturing industries, this study focusses on the sector of metallurgy and
metal-mechanic. A comparative design is followed, with a multiple case setting and embedded
hermeneutic units of analysis. It fits a qualitative approach within an interpretative philosophical
stance with a deductive orientation. The qualitative data analysis process is rooted in a triadic
methodological framework: the general analytical procedure of Miles and Huberman (1984), the
Weber protocol (1990) and the framework of Gioia (2009).
The cases exhibited a multiparadigmatic internationalization reality, with heterogeneity among them
although with some overlapping phenomena adhering differently to the U-model and to the dynamic
capabilities doctrine. Second, seminal constructs addressed in the initial problematization revealed
distintive relations. The psychic distance factors of the U-model were positively perceived as a true
relation. The geographical distance factors observe an ambidexterian effect - true and spurious. The
latter caused by the contingency phenomenon of economic periphery uncovers a latent need for public
policies to retrieve the equilibrium of competitive forces with other EU markets and stimulate the
outward flow of investment of the firms. Third, the DCs, both type 1 and type 2, exhibit processes of
reconfiguration oriented towards international ambidexterity, while the GDCs evidence of DC
mutability and indiscriminate bidirectional transferability.
Keywords: Internationalization; Uppsala model (U-model); dynamic capabilities (DC); global
dynamic capabilities (GDCs); DC transferability; DC mutability
JEL Classification: D22; F14; F20
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Bruno Abrantes v
ACKNOWLEDGEMENTS
Firstly, I shall thank all the scholars who contributed to my apprenticeship at the doctorate program
at ISCTE University Institute of Lisbon.
My PhD colleagues and all the researchers with whom I had the opportunity to collaborate at the
academic conferences.
To the Communication and Corporate Marketing Department of AICEP, for granting access to their
economic-related datasets of the Portuguese firms at the Angolan and Brazilian markets.
To the external language peer-reviewers, Jon Nesbit for the revision of chapter one and his insightful
contributions to one of papers. To Nina Chatelain (SDU – South Denmark University), for the
revision of the following chapters.
To the Dr. Ricardo Contreras of the training center and partnership development area of Atlas.Ti -
Scientific Development Software Gmbh for the support through the QDA process.
My acknowledgements also to the partaking firms in the methodological part of the study, and to its
representatives, who kindly accepted to collaborate in this research, and for its significant
contributions. To the top-managers and the middle managers. A special recognition to the Eng. José
Miguel Quintas, for opening doors to the contact with these participants, and administrative and
technical support, which facilitated the conduction of this investigation.
A special reference to my supervisors, Professor Nelson António (ISCTE University Institute of
Lisbon - Portugal) and Professor Miguel Preto (Instituto Superior Técnico – Universidade de Lisboa
- Portugal) for the patience, guidance along the investigation, and altruistic share of knowledge.
To my dear colleagues, of the faculty staff at Niels Brock Copenhagen Business College (NBCBC)
for the great interest revelead in my research, and for the numerous demonstrations of support, and
confidence in the outcome of my work.
The internationalization paradigm and dynamic capabilities of Portuguese firms __________________________________________________________________________________
Bruno Abrantes vi
To my parents.
To my wife (Julia Skov Abrantes), and my daughters.
The internationalization paradigm and dynamic capabilities of Portuguese firms __________________________________________________________________________________
Bruno Abrantes vii
“What we can or cannot do, what we consider possible or impossible, is rarely a function of our
true capability. It is more likely a function of our beliefs about who we are.”
Albert Camus
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TABLE OF CONTENTS
1. INTRODUCTION .................................................................................................................................................. 1
1.1. GENERAL DESCRIPTION ........................................................................................................................................... 1 1.2. BACKGROUND AND PROBLEM STATEMENT .................................................................................................................. 3
1.2.1. Economic perspective ....................................................................................................................................... 4 1.2.2. Firm-level perspective ...................................................................................................................................... 9
1.3. RELEVANCE, SINGULARITY AND RESEARCH GAP .......................................................................................................... 10
2. LITERATURE REVIEW .........................................................................................................................................13
2.1. THE UPPSALA MODEL (U-MODEL) ................................................................................................................................ 13 2.1.1 The Original U-Model ...................................................................................................................................... 13 2.1.2. The Evolutionary Path – Criticism and Descending Models ........................................................................... 16
2.1.2.1. Main critiques ............................................................................................................................................................16 2.1.2.2 The Uppsala School - Descending Models ...................................................................................................................17
2.1.2.2.1. The Business Internationalization Process Model ..............................................................................................17 2.1.2.2.2. The Entrepreneurial Process Model ...................................................................................................................21 2.1.2.2.3. The Globalization Process Model .......................................................................................................................24 2.1.2.2.4. The Uppsala model adjusted to the HQ – Subsidiary Issue ................................................................................26 2.1.2.2.6. The MBE Evolution Model ..................................................................................................................................29
2.2. ORGANIZATIONAL CAPABILITIES (OCS) ........................................................................................................................... 35 2.2.1. The OCs and the U-Model .............................................................................................................................. 35 2.2.2. The Dynamic Capabilities View (DCV) ............................................................................................................ 37 2.2.2.1. The Micro-foundations of Dynamic Capabilities (DCs) ................................................................................ 39 2.2.2.2 Dynamic capabilities: Main critics and open-questions ............................................................................... 41 2.2.2.3. Conceptualization and Theoretical Framework .......................................................................................... 43 2.2.2.4. Deploying and hierarchizing Dynamic Capabilities ..................................................................................... 50 2.2.2.5 Global Dynamic Capabilities (GDCs) ............................................................................................................. 55 2.2.2.6. Evolvement of the U-model towards the DCV ............................................................................................. 59
2.3. SUMMARY OF LITERATURE REVIEW ................................................................................................................................. 64
3. METHODOLOGY ................................................................................................................................................67
3.1. AIMS OF THE RESEARCH ......................................................................................................................................... 68 3.2. RATIONALE OF THE INVESTIGATION .......................................................................................................................... 69 3.3. PHILOSOPHY OF SCIENCE ....................................................................................................................................... 70
3.3.1. Ontology and Epistemology ........................................................................................................................... 74 3.3.2. Approach to theory development .................................................................................................................. 76
3.4. RESEARCH DESIGN – STRATEGY AND METHODS .......................................................................................................... 78 3.4.1. Research Questions (RQs) .............................................................................................................................. 79 3.4.2. Propositions (Pr) ............................................................................................................................................. 79
3.5. CASE STUDY RESEARCH ................................................................................................................................................ 82 3.5.1. Research population ...................................................................................................................................... 87 3.5.2. Sampling ........................................................................................................................................................ 90
3.5.2.1. Sampling approach, method and techniques .............................................................................................................92 3.5.2.2. Sample – size, identification and representativeness ................................................................................................93 3.5.5.3. Units of Analysis .........................................................................................................................................................97
3.5.3. Quality of the case research design ............................................................................................................... 98 3.5.3.1. Construct Validity .......................................................................................................................................................99 3.5.3.2. Internal Validity ........................................................................................................................................................100 3.5.3.4. Reliability ..................................................................................................................................................................101
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3.6. DATA COLLECTION .................................................................................................................................................... 102 3.6.1. Interview Method ......................................................................................................................................... 103
3.6.1.1 Research Interviews – Philosophical assumptions and Logic of inquiry ....................................................................103 3.6.1.1. Conceptualizing the research interview ...................................................................................................................105 3.6.1.2. Interviews - groundwork and protocol/guide ..........................................................................................................106
3.6.2. Problematization of data bias – sources, and assumptions ......................................................................... 110 3.7. RESEARCH ETHICS ..................................................................................................................................................... 111 3.8. DATA ANALYSIS RATIONALE ........................................................................................................................................ 113
3.8.1. Data Structuring ........................................................................................................................................... 116 3.8.2. Data-mining and codification....................................................................................................................... 117 3.8.3. Measurement Units and Scales .................................................................................................................... 120
4. RESULTS ............................................................................................................................................................... 123
4.1. SECONDARY DATA .................................................................................................................................................... 123 4.1.1. Host-markets ................................................................................................................................................ 125 4.1.2. Transnationality Indexes (TNIs) .................................................................................................................... 132 4.1.3. Internationalization risk-level profile (C and U ratios) ................................................................................. 134
4.2. PRIMARY DATA ......................................................................................................................................................... 135 4.2.1. Demographic Profiling of the Participants (P1-P7) ...................................................................................... 136 4.2.2. Empirical model – IPPF Testing .................................................................................................................... 137 4.2.3. Primary QDA Results .................................................................................................................................... 146
4.3. TRIANGULATION - MAPPING ....................................................................................................................................... 161
5. FINDINGS ............................................................................................................................................................. 165
6. CONCLUSIONS ..................................................................................................................................................... 185
6.1. LIMITATIONS TO THE STUDY ........................................................................................................................................ 189 6.2. MANAGERIAL IMPLICATIONS ....................................................................................................................................... 190 6.3. FUTURE RESEARCH.................................................................................................................................................... 194
REFERENCES ............................................................................................................................................................ 195
APPENDICES ............................................................................................................................................................ 223
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LIST OF FIGURES
FIGURE 1 - EXPORTS OF GOODS AND SERVICES (PERCENTAGE OF GDP)................................................................................ 6 FIGURE 2 – THE MAIN HOST-MARKETS .................................................................................................................................. 6 FIGURE 3 - FOREIGN DIRECT INVESTMENT (FDI) – NET OUTFLOWS (% OF GDP) ..................................................................... 7 FIGURE 4 – OUTWARD FDI 2016 (PERCENTAGE OF GDP) ..................................................................................................... 8 FIGURE 5 - THE BASIC MECHANISM OF INTERNATIONALIZATION – STATE AND CHANGE ASPECTS ..................................... 15 FIGURE 6 – THE BUSINESS INTERNATIONALIZATION PROCESS MODEL ............................................................................... 19 FIGURE 7 - THE STAGE PROCESS AND NETWORK-BASED INTERNATIONALIZATION THEORIZATIONS (THE ORIGINAL U-
MODEL (1977) VS. THE BUSINESS NETWORK MODEL (2009)).................................................................................. 20 FIGURE 8 – THE ENTREPRENEURIAL PROCESS MODEL ........................................................................................................ 22 FIGURE 9 - THE GLOBALIZATION PROCESS MODEL ............................................................................................................. 26 FIGURE 10 – THE UPPSALA MODEL ADJUSTED TO HQ-SUBSIDIARY ISSUE ........................................................................... 28 FIGURE 11 – THE UPPSALA MODEL OF MBE EVOLUTION ................................................................................................... 31 FIGURE 12 – THE GENERAL MODEL OF EVOLUTION OF MULTINATIONAL BUSINESS ENTERPRISE (MBE) ............................ 33 FIGURE 13-THE TPS MODEL ............................................................................................................................................... 48 FIGURE 14 – THE RECONFIGURATION PROCESS: CONVERGE OF THE TPS-EM IN DC FORMATION .......................................... 49 FIGURE 15 - SECOND-ORDER AND THIRD-ORDER DC OF INTERNATIONALIZATION ............................................................. 58 FIGURE 16 - UPPSALA SCHOOL IN THE RBV: THE EVOLVEMENT FROM A MBV (MARKETING-BASED VIEW) TO A DCV
(DYNAMIC-CAPABILITY VIEW) .................................................................................................................................. 59 FIGURE 17 – UPPSALA SCHOOL: A CAPABILITY-CENTRIC APPROACH .................................................................................. 60 FIGURE 18 – CAPABILITY-CONSTRUCTIVISM TOWARDS THE DCV ....................................................................................... 60 FIGURE 19 – CONTINUUM OF PARADIGMS............................................................................................................................ 70 FIGURE 20 – CONTINUUM OF PARADIGMS - PERSPECTIVES AND ASSUMPTIONS .................................................................. 72 FIGURE 21 - RESEARCH PARADIGM OF THE IPPF ................................................................................................................. 80 FIGURE 22 - CASE RESEARCH OF THE IPPF .......................................................................................................................... 86 FIGURE 23 – INTRA-EU INDUSTRIAL PRODUCTION COMPARISON ........................................................................................ 87 FIGURE 24 - MANUFACTURING INDUSTRIES EVOLUTION (1962-2016) ................................................................................. 88 FIGURE 25 – EXPORTS (2016) –WMS PER CATEGORY ......................................................................................................... 89 FIGURE 26 - STRUCTURE OF THE SECTOR (PER SEGMENTS OF ECONOMIC ACTIVITY) ........................................................... 90 FIGURE 27 – SAMPLE IDENTIFICATION PROCESS .................................................................................................................. 93 FIGURE 28 – LOGIC OF QUALITATIVE INQUIRY .................................................................................................................. 105 FIGURE 29 – TYPE OF DATA – INTERVIEW METHOD ........................................................................................................... 106 FIGURE 30 - PROMPTS OF THE INTERVIEW GUIDE AND RESEARCH PARADIGM .................................................................... 109 FIGURE 31 – QDA INPUTS AND THE TRIPLE HELIX ............................................................................................................. 110 FIGURE 32 – OVERLAPPING STAGES IN QUALITATIVE DATA ANALYSIS ............................................................................. 114 FIGURE 33- EMPIRICAL MODEL OF THE IPPF TESTING....................................................................................................... 139 FIGURE 34 - 2ND-ORDER CODING OF DYNAMIC CAPABILITIES (F1-F4) ............................................................................................ 142 FIGURE 35 - 2ND-ORDER CODING - U-MODEL (F1-F4) ..................................................................................................... 143 FIGURE 36 - 2ND-ORDER CODING - OTHER PARADIGMS (F1-F4) ........................................................................................ 144 FIGURE 37 - GDCS AND DIC (DYNAMIC INTERNATIONALIZATION CAPABILITIES) ............................................................ 145 FIGURE 38 – STRUCTURE OF LINKS AND HYPERLINKS (DC/UM) ................................................................................................... 157 FIGURE 39 – STRUCTURE OF LINKS AND HYPERLINKS (DC/OP) .................................................................................................... 158 FIGURE 40 – STRUCTURE OF LINKS AND HYPERLINKS (OP/UM) ................................................................................................... 159 FIGURE 41 –REVERSED TRIANGLE - TRIADIC DIMENSIONALITY (HYPERLINKS) ................................................................. 163 FIGURE 42 - MEANING SYSTEM OF PRIMARY DATA ............................................................................................................ 165 FIGURE 43 - PATTERNS OF DC-TRANSFERABILITY (DC-T) ............................................................................................... 180 FIGURE 44 –PATTERNS OF DC-MUTABILITY (DC-M) ................................................................................................................. 180 FIGURE 45 – FINANCIAL FREEDOM – WORLD, EUROPE AND PORTUGAL ........................................................................... 192
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LIST OF TABLES
TABLE 1 - CHRONOLOGY AND EVOLVEMENT OF THE DC CONSTRUCT ............................................................................................... 44 TABLE 2 – COMMONALITIES IN DC DEFINITIONS .......................................................................................................................... 46 TABLE 3 –OVERVIEW OF PARADIGMATIC LEVELS ................................................................................................................ 70 TABLE 4 - CLASSIFICATION OF PHILOSOPHICAL ASSUMPTIONS ............................................................................................ 71 TABLE 5 - PARADIGM DELIMITATION ......................................................................................................................................... 75 TABLE 6 - CLASSIFICATION OF MAIN TYPES OF RESEARCH ............................................................................................................... 77 TABLE 7 - ACTIVE POPULATION PER ECONOMIC ACTIVITY (2016) ....................................................................................... 88 TABLE 8 – LIST OF PARTAKING FIRMS ......................................................................................................................................... 94 TABLE 9 –STRUCTURING OF THE UAS ........................................................................................................................................ 97 TABLE 10 – SOURCES OF DATA ................................................................................................................................................ 97 TABLE 11 – SUMMARY OF QUALITY OF RESEARCH MEASURES ......................................................................................................... 98 TABLE 12 – MAIN FEATURES OF DATA REDUCTION ..................................................................................................................... 115 TABLE 13 – ANALYTICAL PROCEDURE: METHOD AND FRAMEWORK ............................................................................................... 115 TABLE 14 - CODIFICATION SYSTEM (CS) - WEBER PROTOCOL ...................................................................................................... 117 TABLE 15 – 1ST ORDER CODING METHOD ................................................................................................................................ 118 TABLE 16 - SECOND ORDER CODING METHOD .......................................................................................................................... 119 TABLE 17 - MORPHOLOGY OF DATA MANIPULATION................................................................................................................... 120 TABLE 18 - CLASSIFICATION OF SCALING CATEGORIES AND TECNHIQUES .......................................................................................... 121 TABLE 19 – INDUSTRY-LEVEL CHARACTERISATION (OF ECONOMIC ACTIVITIES) .................................................................................. 123 TABLE 20 – GENERAL CHARACTERISTICS OF F1-F4 ..................................................................................................................... 124 TABLE 21 – CASE-STUDY: INTERNATIONALIZATION PROFILE OF F1 ................................................................................................. 125 TABLE 22 - CASE-STUDY: INTERNATIONALIZATION PROFILE OF F2 ................................................................................................. 126 TABLE 23 – CASE-STUDY: INTERNATIONALIZATION PROFILE OF F3 ................................................................................................. 127 TABLE 24 – CASE-STUDY: INTERNATIONALIZATION PROFILE OF F4 ................................................................................................. 128 TABLE 25 - CASE-STUDY: AGGREGATED DATA (F1~F4) ............................................................................................................... 129 TABLE 26 - F1: CURRENT EXTERNAL MARKETS AND PERCEPTION OF GD/PD ................................................................................... 130 TABLE 27 – F2: CURRENT EXTERNAL MARKETS AND PERCEPTION OF GD/PD .................................................................................. 130 TABLE 28 – F3: CURRENT EXTERNAL MARKETS AND PERCEPTION OF GD/PD .................................................................................. 131 TABLE 29 – F4: CURRENT EXTERNAL MARKETS AND PERCEPTION OF GD/PD .................................................................................. 131 TABLE 30 – TRANSNATIONALITY INDEX (TNI) – ANALYSIS OF SAMPLE RESULTS AND THE RIEP............................................................ 132 TABLE 31 – TRANSNATIONALITY INDEX (TNI) – OVERVIEW OF PARAMETERS ................................................................................... 133 TABLE 32 – CLASSIFICATION OF MARKET-RISK PERCEPTION (GD/PD) ............................................................................................ 134 TABLE 33 - MARKET COMMITMENT, UNCERTAINTY AND MAX. TOLERABLE RISK (C, U AND R) - SAMPLE RESULTS ................................. 135 TABLE 34 - GENERAL CHARACTERISTICS OF THE INTERVIEWS ......................................................................................................... 136 TABLE 35 - DEMOGRAPHIC PROFILE OF PARTICIPANTS (PN) ......................................................................................................... 137 TABLE 36 - CODING RELATIONS SYMBOLOGY ............................................................................................................................. 140 TABLE 37 - CROSS TABULATION - 1ST AND 2ND ORDER CODING (DIMENSIONS) .................................................................................. 147 TABLE 38 - SUMMARY OF QUOTATIONS (Q) - F(X), HE AND N ..................................................................................................... 149 TABLE 39 – CROSS TABULATION - 1ST AND 2ND ORDER CODING (DIMENSIONS AND THEMES)............................................................... 150 TABLE 40 – FREQUENCIES OF 1ST-ORDER CODING (CONCEPTS) – THE DYNAMIC CAPABILITIES (DC) DIMENSION .................................... 151 TABLE 41 – FREQUENCIES OF 1ST-ORDER CODING (CONCEPTS) – THE OTHER PARADIGMS (OP) DIMENSIONS ....................................... 153 TABLE 42 - FREQUENCIES OF 1ST-ORDER CODING (CONCEPTS) – U-MODEL (UM) DIMENSIONS ........................................................ 155 TABLE 43 – GENERAL CHARACTERISTICS OF THE INDUSTRY ........................................................................................................... 167 TABLE 44 - INTERNATIONALIZATION PARADIGMS - GENERAL DESCRIPTION OF THE FIRM (F1-F4) ........................................................ 168 TABLE 45 - GENERAL CHARACTERISTICS OF THE INTERNATIONAL BUSINESS (IB) CONFIGURATION (F1-F4) ............................................. 170 TABLE 46 –TRAITS OF INTERNATIONAL COMPETITION (F1-F4) ..................................................................................................... 173 TABLE 47 – CONFIGURATION OF INTERNATIONAL COOPERATION STRATEGIES (CS) (F1-F4) .............................................................. 175
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TABLE 48 – SUMMARY OF IPPFS (F1 – F4) ............................................................................................................................. 182 TABLE 49 – INTERNATIONAL ECONOMIC FREEDOM (IEF) ............................................................................................................ 191 TABLE 50 – INTERVIEW GUIDE - GENERAL QUESTIONS ................................................................................................................ 229 TABLE 51 - APPLICATION STRUCTURE ...................................................................................................................................... 231 TABLE 52 - CODIFICATION SYSTEM (CS) - CS COMPONENTS AND GUIDEBOOK SECTIONS ................................................................... 236 TABLE 53 –CODIFICATION SYSTEM (CS) – GENERAL DESCRIPTION ................................................................................................ 237 TABLE 54 – CODIFICATION SYSTEM (CS) – CODING FRAME ......................................................................................................... 238 TABLE 55 – CODIFICATION SYSTEM (CS) – CODING UNITS .......................................................................................................... 238 TABLE 56 – CODIFICATION SYSTEM (CS) – CODING CATEGORIES .................................................................................................. 239 TABLE 57 - CODIFICATION SYSTEM (CS) – CODING RULES ........................................................................................................... 239 TABLE 58 - CODIFICATION SYSTEM (CS) - SUMMARY OF CODES PER LEVEL ...................................................................................... 241 TABLE 59 - CODIFICATION SYSTEM (CS) - CODING LINKS/HYPERLINKS PROCEDURE .......................................................................... 242 TABLE 60 - CODIFICATION SYSTEM (CS) – CODING SCHEME ........................................................................................................ 242 TABLE 61 - DESCRIPTORS OF THE GD SCALE ............................................................................................................................. 245 TABLE 62 - DESCRIPTORS OF THE PD SCALE .............................................................................................................................. 246 TABLE 63 - WORD CLOUDING PER DIMENSION (2ND-ORDER CODES) AND CONCEPT (1ST-ORDER CODES) .............................................. 249 TABLE 64 - COOC MATRIX (F1-F4): DC-UM ........................................................................................................................... 252 TABLE 65 - COOC MATRIX (F1-F4): OP -UM .......................................................................................................................... 253 TABLE 66- COOC MATRIX (DC/OP) ....................................................................................................................................... 255
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LIST OF APPENDICES
APPENDIX 1 - THE MANUAL OF THE INTERVIEW GUIDE ............................................................................................................... 224 APPENDIX 2 – THE CODIFICATION SYSTEM OF QUALITATIVE DATA ................................................................................................ 232 APPENDIX 3 – MEASUREMENT UNITS AND SCALES OF SECONDARY DATA ........................................................................................ 244 APPENDIX 4– WORD CLOUDING - FREQUENCIES FOR THE 1ST-ORDER CODING CATEGORY (CONCEPTS) ................................................... 248 APPENDIX 5 – COOC MATRICES (DC/OP/UM) ........................................................................................................................ 251 APPENDIX 6 – SYNOPSIS OF INTERVIEWS (UA1-UA7) ................................................................................................................ 257
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LIST OF ABBREVIATIONS
A-o-N – Activity on node
AA – Asset Abroad
AIMMAP – Associacao dos Industriais Metalúrgicos, Metalomecânicos e Afins de Portugal
(Association of Metallurgical, Metal-mechanic and Related Industries of Portugal)
APA – American Psychology Association
BdP – Banco de Portugal
(Bank of Portugal)
BG – Born Global
BLS – Business-level Strategy
BPDL – Bearable Public Debt Level
CA – Content Analysis
CAE – Classificação das Atividades Económicas
(Economic Activities Classification)
CAGE – Cultural, Administrative, Geographic and Economic
CAQDA – Computer Assisted Qualitative Data Analysis
CC – Consolidation Capability
CGCE – Classificao por grande categoria económica (Classification by large economic category)
CLS – Corporate-Level Strategy
CMM – Capability Maximum Mutability
CMT – Capability Maximum Transferability
CNAE - Clasificación Nacional de Actividades Económicas
(National Classification of Economic Activities)
COOC – Co-Occurrence
CQ – Cultural Quotient
CPLP – Comunidade de Países de Língua Portuguesa
(Community of Portuguese Language Countries)
CSA – Country-specific Asset
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CU – Coding Unit
DAC - Development Assistance Committee
DC – Dynamic Capability
DC-M – Dynamic Capabilities´ Mutability
DIC – Dynamic Internationalization Capability
DrC- Disruption Capability
DCT – Dynamic Capabilities´ Theory
DC-T – Dynamic Capabilities´ Transferability
DCV – Dynamic Capabilities View
DMC - Domestic Materials Consumption
EA – Employee Abroad
EBITDA – Earnings Before Interest, Tax, Depreciations and Amortizations
EC – European Commission
ECI – Economic Complexity Index
ELC – Entreprise-level capability
EM – Eisenhardt and Martin
EPRG – Ethnocentric, Polycentric, Regiocentric and Geocentric
ETPS – Economic, Technological, Political, and Social
EU – European Union
FDC – Fundação Dom Cabral
FDI – Foreign Direct Investment
FMO – First-Mover Opportunity
FF – Flagship Firm
FGC – Fast Growing Company
FSA – Firm-specific Asset
GCI – Global Competitiveness Index
GD – Geographic Distance
GDC – Global Dynamic Capability
GDP – Gross Domestic Product
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GEM – Global Entrepreneurship Monitor
GF – Global Firm
H-O – Heckscher–Ohlin model
HQ - Headquarters
HE – Hermeneutic Unit
IA – International ambidexteriry
IB – International Business
ICMT – Individual Capability Maximum Transferability
IeiP – Internationalization Exploitation Process
IerP – International Exploration Process
IE – International Entrepreneurship
IEF – International Economic Freedom
IFE – International Fisher effect
IJV – International Joint Venture
ILC – Individual-level capability
INV – International New Venturing
INS – Itemised Numeric Scale
IPLC – International Product Life Cycle
IPPF – Internationalization Paradigm of the Portuguese Firms
ISIC – International Standard of Industrial Classification
ISC – Itemised Semantic Scale
MBV - Marketing-based view
MBE – Multinational Business Enterprise
Mc – Market Choice
MNC – Multinational Corporation
ME – Medium enterprise
MNE – Multinational Enterprise
NACE - Nomenclature Générale des Activités Économiques
(General Nomenclature of Economic Activities)
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NCA – National competitive advantage
NCS – Non-comparative Scale
NMC – National Model of Competitiveness
NPD – New product Development
NUTS - Nomenclature of Territorial Units for Statistics
Oa – Ownership of Asset (advantage)
OC – Organizational Capability
OEC - Observatory of Economic Complexity
OECD - Organization for Economic Cooperation and Development
OI – Ownership of Institution (advantage)
OLI – Ownership, Location, Internalization
OP – Other Paradigm
PALOP - Portuguese-speaking African countries
PD – Psychic Distance
PE – Private Equity
POC – Private-owned Company
PoD – Point of Destiny
PoO – Point of Origin
Pr – Proposition
QDA – Qualitative Data Analysis
R&D – Research and Development
RA – Revenue Abroad
RBT - Resource-based theory
RBV – Resource-based View
RQ – Research Question
SBU – Strategic Business Unit
SDC – Semantic Differential Scale
SE – Small Enterprise
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SEGIB – Secretaría General Ibero-Americana
(Ibero-American General Secretariat)
SS – Staple Scale
TA – Total Assets
TCE – Transaction Cost Economics
TC – Threshold Capability
TE – Total Employees
TEA – Total Entrepreneurship Activity
TNI – Transnationality Index
TPS – Teece, Pisano and Shuen
TR – Total Revenue
TrC – Threshold Capability
UA – Unit of Analysis
UM – Uppsala Model
VaC – Value-added capability
VRIN – Valuable, rare, inmitable, non-substitutable
WB – World Bank
WMS – World market share
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1. INTRODUCTION
1.1. General Description
This research focuses on the phenomenon of internationalization of the Portuguese firms, as a
changing state, of dynamic behavior towards the expansion of activities beyond its national market,
either through a transactional mode of international trading and/or through an investment mode at
foreign marketplaces (Johanson and Wiedersheim-Paul, 1974; Welsch and Luostarinen, 1988; Grant,
2010). The first type comprises the role of an exporting-firm; the later unveils the multinational
enterprise (MNE) or multinational corporation (MNC), which coordinates activities within two or
more markets, geographically dispersed, with goal-disparate, and composed of headquarters and
national subsidiaries (Bartlett and Goshall, 1990; Collinson, Narula and Rugman, 2017).
The aims of the research exhibited in subsection 3.1. Aims of the Research, and its underlying research
questions and propositions (subsections 3.4.1 and 3.4.2. respectively) guided the investigation
through the conduction of the empirical tests at sectoral-level within the manufactory industries of
the sector of metallurgy and metal-mechanic. The sample covers the segments of economic activities
of metallic and electrical products, and transportation equipments (BdP, 2017). With foundations in
social sciences, this study involved the coadjuvation of two interdisciplinary fields: economics and
management sciences. Therefore, we have conducted a systematic literature review, articulating
insights from neoclassical and contemporary literature in macro, micro, transactional cost economics,
and evolutionary economics´ literature. This literature review was then combined with a literature
review in management sciences, in the main theoretical fields of organizational structures and
systems, strategy and behaviour, resource-based view (RBV), dynamic capabilities (DC),
internationalization, international business (IB), international entrepreneurship, and
national/corporate cultures. In addition, an examination of the background reality allowed the
emergence of a problem statement (subsection 1.2.), which orientated the continuing of the research,
as described below towards the accomplishment of the objectives.
The scope of chapter two focuses itself on the Uppsala process-model of internationalization, from
the original version until the latest descending models, portraying the evolvement path of the Uppsala
School. Furthermore, the chapter two addresses the firm´s capabilities, morphology, deployment, and
strategy-building. Herein, we examine the roots of the model, addressing the resource-based view of
the firm, and we proceed illustrating the state-of-the-art of the dynamic capabilities view. In chapter
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three, we depict the methodology, employing a deductive approach of qualitative data research based
on the reflection of theory of science philosophical stances. This empirical framework, uncovers
critical aspects, such as the research objctives, research design, data collection methods, the data
codification rationale, the coding system, the data mining, the structuring and analysis procedures,
the testing propositions and their underlying constructs. Secondary-data gathers general insights from
the global competitive index (GCI), transnationality index (TNI), and commitment (C) and
uncertainty (U) ratios. Cumulatively, we gathered specific insights from the outward performance of
the partaking firms involved in the research. The primary data has its origin in an embedded multiple-
case research design, using four companies of the manufacturing industries held by Portuguese
private equity. Within these firms, seven units of analysis are explored, corresponding directly to
seven participants. In chapter four, the results of secondary and primary data are displayed and are
addressed respectively in the two following chapters the findings and conclusions. These findings led
us to reflect about the qualitative data analysis (QDA) outputs generated from the CAQDA
(Computer-assisted qualitative data analysis), which led us to a critical position about the IPPF. The
primary QDA tools were applied separately and triangulatively with secondary data. These tools
account the word clouding, the frequencies of quotations, the semantic diagrammatic networks, and
the crosstabs of co-occurrence matrices. Our conclusions led us, first, to the acknowledgement of
both the existence of commonalities and divergences among cases. The commonalities are related to
a paradigmatic multidimensionality of the IPPF and interdependencies among phenomena.
Contrarily, a heterogeneity of patterns is observed among cases. All the partaking firms accommodate
some phenomena related to the process model of internationalization depicted in chapter one, and
cumulatively, are aligned with a capability-based international strategy. Yet the contours of the IPPF
assume different shapes as the phenomena observed account for substantive differences. With
disregard to the levels of risk perception, two firms exhibit an international entrepreneurial vein with
a higher propensity for developing opportunity-seeking capabilities. One firm is clearly domestically
oriented and making use of a current networking position as a main strategic outmaneuver for
leveraging its business internationalization. All companies seem to be affected by the Ricardian
theory of the relative national comparative advantage, but not due to the factor conditions of the
Porter´s diamond. Here, it is emphasized that the geographical position of the domestic market
uncovers not only the geographical periphery of the country to the markets in the rest of Europe, but
also an economic periphery as well, which is materialized in a net loss of competitiveness in
international trade. This paradigm is related to the logistic costs of accommodating a surplus of
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expenses with the dispatchment of goods, and a loss of business opportunities related with the surplus
of time on deliveries to the center and northern Europe, which is not compensated in other maritime
shipping dispatchment to other continents. Our sample exhibit similar structure and governance
configurations. The realized strategy (at corporate-level and business-level) indicate shortcomings in
their formalization and communication, which is consistent with the typology of structures adopted.
Consequently, the managerial systems reveal unequal strategic fitness across cases for the
international markets, especially for approaching the European continent. The international
coordination systems of the multinational firms (MNCs) reveal the adherence to adaptation and
integration proxies, aligned with the Porterian principles of integration of the focus on
differentiation/focus on cost leadership at business-level strategy, materialized in the portfolio and
downstream alliances (fast-cycle alliances) with partners of research and development activities.
1.2. Background and Problem Statement
The studies on the international business research field focus mostly on three issues (Buckley and
Ghauri, 1999). The first is related to the rate and direction of internationalization, the second with the
form of foreign market servicing, and the last on the impact of cultural differences. Although our
research aims to grasp a broad understanding of the contemporary internationalization paradigm of
Portuguese firms (IPPF), we have therefore developed a cross-linked multi-field systematic literature
review within interdisciplinary fields, including the aforementioned main issues. We begin with a
conceptual distinction of exporting activity (transactional mode) and foreign direct investment (FDI)
to avoid the emergence of rhetorical-type bias in this research.
Eurostat (1998:16) argues that exports are comprised of the following:
“goods which leave the statistical territory of the Member State bound for a non-member country,
having gone through: the customs export procedure (final export, export following inward
processing, etc.); or the customs outward-processing procedure (usually goods destined to be
processed, transformed or repaired for subsequent re-import).”
While the OECD (2007, cited in Eurostat (n.d.) defines FDI as:
“a category of investment that reflects the objective of establishing a lasting interest by a resident
enterprise in one economy (direct investor) in an enterprise (direct investment enterprise) that is
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resident in an economy other than that of the direct investor. The lasting interest implies the existence
of a long-term relationship between the direct investor and the direct investment enterprise and a
significant degree of influence on the management of the enterprise. The direct or indirect ownership
of 10% or more of the voting power of an enterprise resident in one economy by an investor resident
in another economy is evidence of such a relationship. Some compilers may argue that in some cases
an ownership of as little as 10% of the voting power may not lead to the exercise of any significant
influence while on the other hand, an investor may own less than 10% but have an effective voice in
the management. Nevertheless, the recommended methodology does not allow any qualification of
the 10% threshold and recommends its strict application to ensure statistical consistency across
countries.”
The boundaries of both conceptualizations are clearly established. The exports relate to the
dispatchment of goods and/or services to an external marketplace, while the FDI describes a deeper
level of commitment overseas through either an introductory or continuous investment (self-
investment or leveraged buyout investment). In the adoption of the latter concept (FDI) in our
empirical study, a broader definition is adopted, which includes firms with less than ten percent of
ownership in a third company abroad and/or with diminutive voting power and decisional influence.
These (firms) were considered eligible for inclusion in the sample. Nevertheless, the partaking firms
in this investigation rigorously fit the criteria of OECD´s (2007) classification.
This research begins drawing a background set-up of the evolvement of the national reality regarding
foreign trade and investment built upon two (2) perspectives: a macro perspective at economic-level,
and a micro perspective at firm-level. The latter, orientates the locus of our investigation towards the
circumscription of the initial problematization, providing an insight for the delimitation of the
problem statement, exploitation of a research gap, and guiding our research design and methodology
rationale.
1.2.1. Economic perspective
A cross-analysis of economic data from official sources, combines datasets from international and
national organizations, the World Bank (WB), the Organization for Economic Cooperation and
Development (OECD), the Eurostat, the Observatory of Economic Complexity (OEC), the Statistics
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of Portugal and the AICEP Portugal Global – Trade and Investment Agency, aiming to describe the
current competitive context of the Portuguese firms at the business ecosystems overseas.
Firstly, the country was not immune to the troubled moments related with global economic
advancements (Bento, 2010). The phenomenon of globalization of markets has added more
complexity to the existing issues of competitiveness among nations in the post-fall period of the
Berlin Wall. Since that time, a new political and economic geography emerged, such as the
obsolescence of central planning economies, and the evolution of new systems of state capitalism.
Likewise, the emergence of new business paradigms, and the emergence of constant and successive
technological innovations, challenge nowadays the global economy (Silva and Teixeira, 2013). Thus,
is argued that the national competitiveness of Portugal in this contemporary globalized world it is
intrinsically linked with the fulfillment of a set of criteria, which may leverage the exporting and
outward investment capacity and the attraction of the FDI, and therefore, lead to a structural and
strategic adaptation to a changing world (Silva and Teixeira, 2013). These prescriptive factors are as
follows: the concentration of the transactional economy industries; the rise of sophistication and
singularity of both businesses and products, including their technological content and further
incorporation of knowledge, associated with the criticality of the national, corporate and products´
branding. Although, this so-called national model of competiveness (NMC) that is defended here
above, is threatened as in economic theory, due to the sovereign debt level and loss of exchange rate
(Stiglitz, 2002; Bento, 2010). The first indicates the lack of capacity indicated by the Portuguese
economy to absorb the absolute level of the debt, materialized in the ratio of public debt over GDP,
which is away above the 60 percent of bearable public debt level (BPDL). The latter is aggravated by
the rigidity of the labor market and the increase of competition from the emergent economies.
Furthermore, a recent continuous decline of the Portuguese domestic materials consumption (DMC)
since 2009 until 2013 has been perceived as being only interrupted by a 2,00% upturn in 2014
(Statistics of Portugal, 2015). Second, it is perceived an accentuated tendency of growth in exports
(Figure 1) has been perceived in the last decades, which is accompanied by an improvement in their
performance. The GDP numbers are real inflation adjusted and are based on the seminal Keynesian
model of GDP forecasting (Keynes, 1937):
GDP = C + I + G + (X-M)
(1)
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The formula illustrate the sum of yearly expenditures and accounts for the following elements:
private consumption, business investment, government expenditure and net flow of inward/outward
trade of exports against imports.
Figure 1 - Exports of goods and services (percentage of GDP)
Source: World Bank (online)
Accordingly, the report “Estatísticas do Comércio Internacional 2014” (Statistics of international
trading 2014) issued by the Statistics of Portugal (2015) is confluent with the previous sources (in the
increase of exports) and it emphasizes a tendency of concentration towards markets of greater
proximity. The Euro-zone destiny countries registers a growth of 2,7% overcoming the global average
of 1,8%. Particularly, Spain and France, respectively, which are the first and second main clients in
goods account for (together with Germany) 46,9% of the exports in 2014.
The OECD´s (2015) report “Boosting Economic Performance in Portugal” (Figure 2) corroborates
the dependency of the Portuguese firms to compete in environments of great proximity.
Figure 2 – The main host-markets
Source: OECD (2015)
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Figure 2 above illustrates that within the ten most critical destiny markets, seven are EU state-
members and two (Angola and Brazil) are Portuguese-speaking countries and these are cumulatively
affiliated with the Portuguese-speaking African countries (PALOP) and with the Community of
Portuguese Language Countries (CPLP), respectively.
The last report from the Statistics of Portugal emphasizes the upward trajectory of exports in 2016,
registering an annual growth of 8.3% (excluding the oil and lubricant goods), with Portugal
positioning itself at 50.290 Million Euros. Herein, the dependency to exports intra-UE is accentuated
with its growth of 11.3%. The results of the secondary sector indicate for the industrial supplies not
elsewhere specified in other category (“fornecimentos industriais NE noutra categoria”) contained
in the table Exports - Classification by Large Economic Category (“Exportações por CGCE”) the
results of the CGCE that account for this case study research in 2016 grew by 8.3% (INE, 2017:7).
Third, the net flows of foreign direct investment (Figure 3) indicates an intermittent behavior in the
last decades.
Figure 3 - Foreign Direct Investment (FDI) – Net outflows (% of GDP)
Source: World Bank (WB)
Observing the evolvement of the phenomenon, it is acknowledged that the pattern followed towards
the end of the 20th century has changed significantly to a scenario of greater volatility delineating a
longitudinal trend of inconsistency in the first two decades of the 21st century, which is corroborated
by the latest data updated until 2016 on the outward FDI (% of GDP).
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Figure 4 – Outward FDI 2016 (percentage of GDP)
Source: OECD (n.d.) (Red line (Portugal); Black line is the average of DAC (Development Assistance
Committee) of Member-States at OECD)
According to the report of AICEP (2006), the Portuguese FDI is concentrated at the intra-community
level with Netherlands and Spain, accounting for quotas of 40,4% and 17,6% respectively. Within
non-EU countries, Angola and Brazil register, respectively, the highest investment quotas with 6,9%
and 6,1% outwards flows.
In this sense, the patterns of exports and outward investment uncover remarkable similarities. In both,
firms demonstrate a preference for entry into closer markets. Thus, the two most significant host-
countries (Spain and France) are the ones of greater geographical proximity within the EU-Zone.
Although, the Maghreb countries of North (West and East) Africa, despite their geographic proximity,
do not display particular preferences for doing business, as the economic data does not demonstrate
any evidence of notable results in exports or outward investment. Conversely, countries of higher
geographical distance but which have Portuguese as an official language demonstrate significant
figures and are perceived as being markets of high economic interest for Portuguese companies.
Therefore, the OEC - Observatory of Economic Complexity (online) of the MIT Media Lab advocates
(at the economic complexity index - ECI) of the country a greater propensity for a (geographical)
proximity approach towards the EU neighbor economies (Spain, France, Germany, Italy and
Netherlands).
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1.2.2. Firm-level perspective
As a preamble approach to the economic-level, the content in subsection 1.1 acknowledges the
existence of particularities related to the international of Portuguese firms either during transactional
or investment modes, through their exports or FDI. Firms seem to target host markets accordingly to
a duality of proximity factors. Those bifocal factor conditions categorizable as geographical and
cultural factors, uncover an idiosyncratic market dependence to familiar economies. First, the
international trade with the EU State-Members, particularly within the Euro-Zone, and more
specifically, with the Spanish market (with whom Portugal share the closest geographical land
borders) reveals a geographical predisposition towards host-markets of greater physical proximity.
Then, it is verified that firms are attracted to marketplaces of cultural proximity, as prior secondary
data demonstrates a greater outflow of trade and outward investment to the Portuguese-speaking
countries (namely to the Portuguese-speaking African countries – PALOP; and/or other
environments belonging to the Community of Portuguese Language Countries – CPLP). In this way,
this phenomenon uncovers an ex ante preference for host-markets with linguistic proximity in the
international venture.
Accordingly, the Portuguese firms appear to account for the selection of the destiny markets using a
decisional algorithm that weights two components; physical distance, and psychic distance. These
two components seem respectively to account for the geographical and cultural factors in the choice
of markets (entry/expansion). This binary-based decisional process is perceived in the literature as a
risk avoidance behavioral pattern, consubstantiated in psychic distance factors acknowledged
primarily by the empirical research of Uppsala university (Uppsala model) (Johanson and Vahlne,
1977). Nevertheless, the geographic proximity does not seem to account for the internationalization
pattern phenomena, sole and isolatedly as a cause-effect variable since, the business potential in the
countries of greater proximity in North Africa seem to be neglected. Therefore, the cultural proximity
may be argued to account also as a factor condition in the decision-making process of foreign market
choice (Mc) in a rather singular manner. Thus, this dichotomic approach may be represented ceteris
paribus as:
Mc = ((GD x R) + PD) (2)
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The GP and PD represent the factors accounting the decisions of internationalization at entry stage
and the R the perception of the risk of the focal market. In this way, we argue that the Portuguese
firms have a strict approach towards the markets overseas, which constrains the international
venturing.
1.3. Relevance, Singularity and Research Gap
Considering the aforementioned at the background and problem statement section, this next section
explicates an in-depth theoretical approach to both internationalization theory and resource-based
theory (Chapter Two). This systematic literature review examines both bodies of theory to illuminate
the comprehension of the IPPF. Therefore, in the next chapter, we depict the theoretical framework
of The Uppsala Model (U-Model) in section 2.1., and additionally, in section 2.2 we address The
Dynamic Capabilities View (DCV). In the latter, we review the literature from the resource-based
view (RBV) and its evolvements through the marketing-based view (MBV) and dynamic capabilities
view (DCV), focusing on the latter since, it is perceived in the literature as being a source of
sustainable competitive advantage, when applied to international venturing. In addition, since the U-
model is rooted in the RBV, as a capability-based framework to internationalization, we follow the
capability-building process within its descending models to understand the proximity of the Uppsala
School to the DCV in the timeline, and pinpoint the DCs incorporated in each model. Lastly, to
comprehend the phenomenon of alignment/deviation of the internationalization paradigm of the firms
under observation, with regard to the capabilities exhibited in foreign competition, we categorize their
status according to the U-model, and revise the bundle of (combinative) capabilities demonstrated in
overseas operations. Consequently, we focus our attention on the mobility of DCs from the domestic-
market (headquarters) to host-markets (subsidiaries). Thus, we concentrate particularly on global
dynamic capabilities (GDC), and on the comprehension of its transferability, dissemination and
mutation process.
This research scope is related to the acknowledged information about the Portuguese foreign
competition, and is due to the fact that the DCV is a growing field in the strategy theory, although,
empirical research on DCs is advocated as scarce (Arend and Bromiley, 2009; Ambrosini, Bowman
and Collier, 2009; Helfat and Peteraf, 2009). Moreover, despite the wide attention given to DC
commonalities and deployment (addressed in section 2.2.4. Deploying and hierarchizing Dynamic
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Capabilities) the DC mobility, transferability and transnationalization are perceived as overlooked
issues and the GDC body of theory is newborn and undeveloped. The dynamic capabilities theory
(DCT) advocates the capacity of DCs to duplicate (Eisenhardt and Martin, 2000), evolve (Ambrosini,
Bowman and Collier, 2009), mutate (Wang and Ahmed, 2007) mobilize and transfer itself (Wang and
Ahmed, 2007; Madhok and Osegowitsch, 2000; Luo, 2001), within an international context
(Weerawardena et al. (2007). Although, the empirical research regarding GDCs is at a point of
scarcity. The same happens with the development of measurement scales for DCs, despite the
contribution of Helfat and Peteraf (2009). An interpretativistic research at the sectoral-level (and/or
industry-level) of the international businesses (IBs) of the Portuguese firms regarding their
internationalization stage and bundle of employed capabilities is unnoticed. This sets the scene of the
individual interest, academic relevance, and uniqueness of the investigation, which is intended to
fulfill the research gap aforementioned while pursuing the topic with this circumscription.
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2. LITERATURE REVIEW
As the general research topic is centered towards the IPPF, and the general interest is narrowed to
focus on the research problem described above, the review presented in this section addresses the
topic in a dualistic mode, immersing into the literature related to internationalization to explore both
the internationalization theory, and the resources and capabilities theory. The first, focusses on the
exploration of literature related to the Uppsala School since it was perceived in the first chapter that
the internationalization decision-making process in Portuguese firms largely accounts for the
variables of geographical and psychic proximity, which were identified in their first academic papers
in this field. In addition, we consider the firm´s fitness for marketing foreign destinies, and therefore,
we address the resource and capabilities´ theory.
2.1. The Uppsala Model (U-Model)
2.1.1 The Original U-Model
Previous studies on the topic indicated a plethora of economic and business factors account on firm’s
internationalization decisions. With regard to international business (IB), researchers from the
University of Uppsala developed a behavioral-based internationalization process model focused on
empirical observations from the Swedish firm´s foreign experience (Johanson and Wiedersheim-Paul,
1974; Johanson and Vahlne, 1977). Considering the behavioral theory of the firm of Cyert and March,
*1963), this identified common traits on decision-making situations on international operations. They
observed that foreign market´s involvement is incremental and firms take small steps, in a certain
pattern and pace, mitigating risk. They also found, market (experiential) knowledge as a keystone on
internationalization success, arguing that it could be mainly acquired through operations abroad.
Additionally, they assert that the lack of knowledge influences the commitment to the host country
and the success of international expansion strategies. The awareness of the significance of market
knowledge, unfolds later in multiple side considerations, as prior knowledge (Cohen and Levinthal,
1990); Ardichvili et al., 2003), international operations experience (1990), entry experience (Chang,
1995), foreign experience (Hohenthal, 2003), knowledge development (Gulati, 1999; Gulati and
Gargiulo, 1999; Dyer and Hatch, 2006) and foreign business knowledge, foreign institutions
knowledge and firm internationalization knowledge (Eriksson et al., 1997).
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Therefore, the internationalization is assumed to be the product of a series of incremental decisions
(and the internationalization process the sum of all the decisions), regarding variables as knowledge,
commitment (C), perceived risk (R) and uncertainty (U), at a given time. According to this
framework, the authors built a system of relationships between R, U and C variables to explain the
firm´s scale-increasing decisions. They have drawn an imaginary boundary line determining the
firm’s decision situations whether to increase or decrease their operations. The line sets the “maximum
tolerable market risk” (R*) according to the perceived uncertainty (U) and firm´s commitment (C),
through the following function:
The firm´s existing market risk situation is represented by:
Thus, the R market i varies as follows:
Typically, the firm’s entry in foreign markets assumes a low commitment mode and its integration is
gradual, in order to reduce risks and losses. Firms start exporting to a certain market, occasionally
and then permanently. Later, the activities get stabilized or increased, so as the commitment. Firms
under study seemed to follow this similar pattern of establishing operations to which the authors
called the establishment chain. This is a scaling up chain of business commitment following a certain
sequential order – (i) no regular export; (ii) independent representative (agent); (iii) sales subsidiary;
and (iv) production subsidiary. Complementarily, Johanson and Vahlne (1977) argue that the time
order of the establishment steps is intrinsically linked to the psychic distance between home and the
import/host country. Firms usually go abroad to close and familiar markets and extent gradually their
operations to more distant and unfamiliar markets. The authors affirm that there is no optimum
allocation of resources strategies, because of the gap between psychic and geographical distance. The
psychic distance factors were defined as the sum of all (factors) preventing or disturbing the flow of
information from and to the market. It could be the language, education, business practices, culture
and industrial development (Johanson and Vahlne, 1977); political systems, communications
Ri* = f (firm´s resources position x firm´s risk approach) (3)
(5)
(R market i) = Ui . Ci,
(4)
∆ Ri = ∆ Ui (Ci + Ci) + ∆ Ci . Ui < 0
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systems, trade and other social exchange (Johanson and Wiedersheim-Paul, 1975) and knowledge
about laws or rules (Johanson and Vahlne, 2009).
The Uppsala internationalization process model´s main structure is given by the distinction of state
and change aspects. For the authors, the basic mechanism of internationalization is the combination
of both (state and change) through a repeating cycle of events, in which, the outcome of a decision
(or set of decisions) represents an input of the next. This dynamic model considers state aspects as
the existing internationalization features (scenario) gathering two components: (i) (the type and size
of the) resources investment (reflecting the degree of commitment); and (ii) the knowledge about
the foreign market and operations. While the change aspects are the dynamic response (to the state
aspects) and are comprised of: (i) decisions to commit resources; and (ii) performance of current
activities. The U-model´s basic mechanism of internationalization is then illustrated in Figure 5:
Figure 5 - The Basic Mechanism of Internationalization – State and Change Aspects
Market
Knowledge
Commitment
decisions
Market
Commitment
Current
Activities
The basic mechanism of the Uppsala´s internationalization considers two types of variables, as the
characteristics of the phenomenon that can be observed (Collis and Hussey, 2014). The state and
change variables and contains an underlying relationship system between both. First, there is a direct
relation between the two state aspects´ variables. Market knowledge is itself an (external) resource.
Thus, the better the (market) knowledge, the more valuable the resources get. The current activities
are also a prime source of experience (regular market experience and firm experience), however, firm
experience is acquired, consisting in hiring personnel with market experience and/or advisory from
experienced professionals. There is also a connection between market experience and commitment
decisions. The model considers business activities as a source of market knowledge growth, and
Source: Johanson and Vahlne (1977)
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market knowledge is a driver for further opportunities and problems perception, and consequently, a
guideline for decision-making orientation. So, Johanson and Vahlne (1977) converge with Penrose
(1959) study, emphasizing the role of opportunities and problems uncovering the needs for further
business actions (commitment decisions)
It would be worth mentioning that the model focus on psychic distance factors (considering others
immutable), although it is acknowledged (and overlooked) that other factors may have a large impact
on operations, such as the firm's technology. Second, each firm has a different strategy on establishing
their own operations with respect to risk (high-risk level, moderate-risk level and low-risk level) due
to their state aspects: resources and knowledge.
The authors concluded that commitment decisions are likely to follow a pattern, starting from low-
risk modes of internationalization, and scaling up through the establishment chain, unless the firm
holds very large resources and/or the host country offers stable and homogeneous market conditions.
The Uppsala model also underpins the role of experience (market-specific knowledge) added to
general (objective) knowledge, and how it affects the export and foreign investment behavior.
2.1.2. The Evolutionary Path – Criticism and Descending Models
2.1.2.1. Main critiques
Based on the observation that organizational behavior has changed, there are some critics of the
Uppsala model, directing their considerations to the incremental design, the establishment chain and
psychic distance factors. The most common remarks are as follows: firms sometimes leapfrog over
stages; disregard the profile of the entrepreneurs; the internationalization process has different
velocities (according with the stage it is; more advanced stages have a more rapid process), the order
firms´ choose markets are no longer related to psychic distance, and firms are using alternative modes,
such as joint-ventures, strategic alliances and acquisitions (Johanson and Vahlne, 2009).
Most of the criticism about the incremental designs, towards a general consensus among businessmen
and academics that the internationalization process models (Uppsala and Innovation-related) is due
to the fact that it does not respond entirely to the challenges of globalization and the accelerating
technological development (e.g. Sullivan and Bauerschmidt, 1990; Melin, 1992; Anderson, 1993;
Oviatt and McDougall, 1999; Madsen and Servais, 1997; Zahra et al., 2000; Moen and Servais, 2002).
Similarly, Weerawardena et al. (2007) criticized the gradualist view of the Uppsala model which is
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based on incremental and sequential learning and is therefore deterministic and path dependent. In
addition, the authors state that the U-model does not recognize the role of other firm profile factors
such as path-breaking strategic choices and also the will of internationally-oriented business-owners
and managers for accelerated internationalization Thus, they state the gradualist view is not consistent
with the accelerated internationalization of the born global (BG) firm; and despite the U-model´s
empirical verification (and its application over the years), several studies propose a different approach
with regard to a firm´s requirements for a rapid internationalization.
2.1.2.2 The Uppsala School - Descending Models
2.1.2.2.1. The Business Internationalization Process Model
The common trait of alternative studies is the attention given to network-based patterns of
internationalization (e.g. Johanson et al., 1988; Coviello and Munro, 1995; Holmlund and Kock,
1998; Forsgren, 2002; Coviello, 2006; Holmlund et al., 2007). In this way, the two approaches (the
network-based models and the process models) assume an antagonistic and confrontational
positioning towards each other. However, an integrative perspective suggested its complementarity
and proposes its coexistence (Johanson and Vahlne, 2003; Gemser et al., 2004). Corroborating this
hybrid, and inclusive, third alternative (the integrative perspective) two lines of advocacy give it
ground. First, similarities are perceived between both, as the two approaches are behavioral-based
and value experiential knowledge and learning. The second, advocates that the business network-
view due to its acceptance of interactivity, is complementary to the stage process model, because it
expands the scope of the latter and breaks its boundaries (Sørenson, 1997) focusing on additional
conceptualizations such as, relationship, trust, social capital and intellectual capital. This stage
process model also considers business networks as being transnational while the U-model emphasizes
that business strategies are country-specific. Thus, the networking approach has a broader view and
internationalization is defined as the general expansion of a business firm regardless of the country
borders (where the only existing barriers are associated with the establishment and development of
business releationships). International expansion is assumed as the outcome of a relationship´s
development (Johanson and Vahlne, 2003).
Despite the theoretical positing of the both perspectives, it is reasonable to combine a network model
with a process model because of their common need for (experiential) knowledge capital for the
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resolution of two kinds of constraints: business´ relationship-specific problems and country-
specificity and cultural barriers (Johanson and Vahlne, 2003). The first one (the network model)
requires market experience to face relationship-specific psychic distance and the other one (process
model) requires institutional experience to overcome country-specific psychic distance. Furthermore,
it is recognized that business relationships are multi-dimensional (technical, legal, economical and
human) and have a two-way function of social interaction, which means they receive and give back,
and also provide and generate new knowledge (Dahlqvist, 1998; Håkansson and Ford, 2002; Johanson
and Vahlne, 2003).
Another fact that should be taken into account is that network relationships also have implicitly
embedded, the concept of commitment (as the original U-model) though with a different outline.
Whereas the original Uppsala model´s conceptualization of market commitment (and degree of
commitment) is related to the amount of resources and their allocation process, the network model
emphasizes the commitment role as an explicit willingness to act, to maintain, develop and strengthen
relationships and institutional trust, as being the spark for social and intellectual capital (Morgan and
Hunt, 1994; Johanson and Vahlne, 2006). Social capital refers to the strong and long-term networking
relationships constituting the foundation for trust, cooperation and collective action whereas
intellectual capital arises as the new knowledge derived from social capital. It appears there are
bridges approaching the two commitment´s standpoints. The U-model originally posits that market
knowledge and risk assessment are critical to reduce uncertainty and (re)define the level of (market)
commitment and future activities. From the network´s point of view, the relationship commitment
also assumes an underlying determination of the focal firm to reduce uncertainty, acquire new
knowledge (intellectual capital), gain more control over the environment and experiment an
entrepreneurial discovery of the hitherto unknown (market opportunities) for further exploitation and
exploration (Kirzner, 1973; March, 1991; Johanson and Vahlne, 2006).
Part of the criticisms around the original Uppsala model are due to the considerably changes in the
world as already mentioned in a previous section. The motion and complexity of the economic and
regulatory environments forced companies to respond reactively and adaptively to new stimuli.
Business research boundaries were widened and further contributions came from other areas for
instance international marketing provided a business network view (Johanson and Vahlne, 2009).
Based on network-thinking, researchers from the University of Uppsala developed an
internationalization model, underpinning that firms establish and develop positions in relation to
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counterparts in foreign markets. The model of industrial markets (Johanson and Mattson, 1988)
describes industrial markets as networks of relationships between firms. In this model, the role of
customer and supplier within the relationship are mutually important for knowledge acquisition and
development about price, quality, and service issues. Johanson and Mattson (1988) define
relationships as cumulative processes continually established, maintained, developed and broken to
give short-term returns, to create network positioning, and to ensure the long-term survival and
development of a firm. This approach considers internationalization may be carried out through three
different pathways: international extension (establish positions - micro positioning - in relation to
counterparts in national nets), penetration (developing network positions – macro positioning - and
increasing resources in those nets), and international coordination (managing positions among the
different national nets).
Johanson´s and Vahlne´s (2009) research focus on business networks as market structures and
corresponding business network structures to develop a general business network model. Their
research differs substantially from Coviello´s (2006) model which morphologically analyzes the
development of networks during the early stage (of internationalization); therefore narrowing his
research to the international new ventures (INVs) and born global firms (BG). Likewise, this model
is also quite different from the original Uppsala model in its ontological nature and structure (as
illustrated in Figure 6).
Figure 6 – The Business Internationalization Process Model
State variables Change variables
Knowledge
opportunities
Relationship
commitment decisions
Network
position
Learning creating
Trust-building
The main similarity is keeping the two structural aspects (state and change) despite changes in their
content. The 2009 version added (the previously overlooked) “recognition of opportunities” to the
“Market knowledge”, changing its name to “Knowledge opportunities” to emphasize these
Source: Johanson and Vahlne (2009)
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opportunities as the most important component of knowledge. Market commitment (the second state
variable) was replaced by a broader element “Network position” which gathers three subsets:
relationships interplay and learning (within the network), trust and commitment.
With regard to the changed aspects the “Current activities” were converted into “Learning creating
and Trust-building”. The authors acknowledge that the “Current activities” in the original model
lacked experiential learning and building trust and commitment; hence its replacement. Finally, the
second change variable is “Relationship commitment decisions” which was adapted from
“Commitment decisions” to clarify that commitment is assigned to business networking relationships,
to develop new relationships, build rapport to new networks, and to protect the existing network
(strategic relationships). The illustration below (Figure 7) represents the changes in the original
model:
Figure 7 - The Stage Process and Network-based Internationalization Theorizations (the Original U-Model (1977) Vs. the Business
Network Model (2009))
State variables Change variables
Original
Uppsala Model
(1977)
Market Knowledge Original
Uppsala
Model (1977)
commitment decisions
(market-related)
Business
network model
(2009)
Knowledge
Opportunities
(market knowledge and
opportunities)
Business
network
model (2009)
Relationship
commitment decisions
(network-related)
Original
Uppsala Model
(1977)
Market commitment
(amount and degree of
resources)
Original
Uppsala
Model (1977)
Current activities
Business
network model
(2009)
Network
position
(levels of current
knowledge, trust, and
commitment)
Business
network
model (2009)
Learning creating
Trust-building
(current activities, creating
learning and building trust
and commitment)
Source: Based on Johanson and Vahlne (1977); Johanson and Vahlne (2009)
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The further development of 2009´s revised model is based on the core argument that markets are
networks (of various and complex) relationships where firms get connected to each other. Thus,
insidership in relevant markets is a prerequisite for the success of internationalization. The original
U-model sustains the argument that foreign investors are needed in order to give a firm-specific
advantage due to its liability of foreignness, which is closely related to psychic distance factors.
Conversely, the business network model demonstrates the liability of outsidership as being the lack
of market-specific knowledge constituting the major impediment to IB. According to the network
view, the markets are the business environments where its actors become engaged in interdependent
relationships through social exchange processes, leading the firm to knowledge acquisition and
development, organizational (experiential) learning, building trust and commitment and
strengthening its network position (Johanson and Vahlne, 2009). The authors also advocate the
correlation of outsidership with foreignness stating that market membership is a prerogative to lock
the liability of foreignness. Moreover, they posit that the role of internationalization as being the
means to enhance the relationship´s development (Johanson and Vahlne, 2003), while converging to
the assumption that internationalization is the outcome of the intentions (and efforts) to expand
internationally (Welch and Luostarinen, 1988) and a by-product of the firm´s effort to improve its
network position and also the result of the entrepreneurial action to identify and develop business
opportunities (Schweizer et al., 2010).
2.1.2.2.2. The Entrepreneurial Process Model
In order to confirm the validity of the business network internationalization process model of
Johanson and Vahlne (2009), Schweizer et al. (2010) confronted the theoretical framework with
empirical data measuring continuously the fit between model and reality and developing an
alternative archetypal approach - an entrepreneurial internationalization process model. This model
has implied structural similarities with the business network model.
Both comprise the environment as dynamic and non-linear where its actors are laced within networks,
and the (state and change) variables are also interconnected and mutually affected by one other. The
main conceptual difference is that the Johanson´s and Vahlne´s (2009) model focusses on business
effectiveness and growth through a business network-view, while Schweizer et al. (2010) have a
broader outlook about international entrepreneurial action, and their model is like a hat that covers
different subtopics (by-products and other actions): international business (efficiency and expansion),
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opportunity identification, development and exploitation, dynamic capabilities and entrepreneurial
capabilities, organization learning, Knightian uncertainty, risk-taking and affordable loss, networks,
business relationships, and trust and commitment.
Figure 8 – The Entrepreneurial Process Model
State variables Change variables
Knowledge
opportunities
Entrepreneurial
capabilities
Relationship
commitment decisions
Network
position
Learning creating
Trust-building
Exploiting
contingencies
Source: Schweizer et al. (2010)
On the upper left box (Figure 4) of state variables, the authors gather specific market knowledge with
general entrepreneurial capabilities which they relate to activities of launching born global (BG) firms
and international new ventures (INV), as well as actions taken to internationally develop an existing
foreign business (activities of entrepreneurial change). Schweizer et al. (2010) emphasize knowledge
as the drivers of an entrepreneurial activity process; therefore stressing the significance of individual
knowledge and intangible resources to enlarge the body of knowledge – especially the knowledge of
opportunities – and disseminate it through an organization, so that the dynamic capabilities may
evolve, and optimize the exploiting contingencies (Sarasvathy, 2001), which ultimately depends on
the state variables as seen in the upper left box of the model.
In the entrepreneurial process model the authors maintain that the key dynamic capabilities are the
ability of the entrepreneurs to build and sustain the foremost relationships and to make use of the
contingencies to evolve in those relationships and networking positioning. Unlike the models from
1977 and 2009, this one focusses on business opportunities. First, is asserted that bumping accidently
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(serendipity) into existing opportunities and their recognition (Kirzner, 1973) from perception to
discovery, to creation (Ardichvili et al., 2003) is not related to a systematic search process, stating
that entrepreneurs assume a passive search mode, like a state of entrepreneurial alertness instead of
diving into an active search. However, the authors recognize the value of new information and ideas
(Koller, 1988) and believe that solo entrepreneurs are not so effective in identifying opportunities as
network-entrepreneurs who have wider access to extended information obtained throughout social
exchange processes. Although they consider personality differences, prior market knowledge,
marketing processes and customer problems establish a set of features that might hinder opportunity
creation (Ardichvili et al., 2003).
As an entrepreneurial behavior model which appraises internationalization as a by-product of network
positioning, the authors also address decision-making, in the upper right box of change variables,
which is intrinsically connected to knowledge, risk, commitment and network positioning (which
includes the market operations). Thus, the authors are aligned with Sarasvathy (2001), an effectual
reasoning supporter of entrepreneurial thinking. In fact, the author also distances herself from the
country-specificity of the original U-model stating that effectual entrepreneurs are not tied to a pre-
conceived market universe and tend to search for new customers within their immediate vicinity, no
matter whether it is within their geographical vicinity or within their social network (network
vicinity). The effectuation process is based on two principles: the affordable loss principle and the
strategic partnerships principle, which share basic similarities with Schweizer et al. (2010). Both are
uncertainty reduction concerned (as is the original U-model) and network-orientated to building
partnerships rather than doing systematic competitive analysis which is a causal reasoning of
managerial and strategic thinking (less entrepreneurial). Hence, Schweizer et al. (2010) are
supportive of a shift from the reflexive causation process to a dynamic effectuation process through
the action and interaction with others, in which firms deal a priori with environmental contingencies,
instead, of reacting to the dyad cause-effect circunstancialism.
Yet, we have noted that the entrepreneurial process model corroborates the business network model,
defending the relationship-specificity rather than country-specificity accentuating the disruptive
standpoint with some features of the original U-model: incrementality of the process, the
establishment chain, the psych distance factors and the liability of foreignness. This model also
strengthens some gaps of the original model: network insidership, business opportunities
(identification and exploitation), the entrepreneur´s role, the firm´s dynamic capabilities, and the
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aprioristic uncertainty control, topics who were initially addressed superficially or overlooked.
However, it must be emphasized that Uppsala´s original model incorporates a risk reduction model
which relates to: risk, commitment and uncertainty (Figueira-de-Lemos et al., 2011). In fact, the
formula (Ri = Ci x Ui), addressed in a previous section, is a mathematical expression translating the
maximum tolerable market risk (R) despite not mentioning explicitly its nature whether it´s ex ante
or ex post, which means it is not clearly understood if its purpose is to support decision-making on
market entrance and expansion issues, or if its purpose is to assess a firm´s performance. However,
Figueira-de-Lemos et al. (2011) state that the risk mitigation approach of the original U-model is
consistent with the Sarasvathy model (2001) in which affordable loss of the effectuation process is
due to its contingency process view of continuous risk variation assessment which relates to both
variables (uncertainty and commitment) that have an inverse proportional relation and wherein the
risk follows an hyperbolic convex function according to uncertainty variation (∆Ui) and commitment
variation (∆Ci).
In short, uncertainty (Ui) is a subject that has remained on the agenda of researchers of the Uppsala
school. However, the approach to commitment (Ci) has changed from markets to business networks.
Also knowledge was previously considered as a unilateral learning process, and the 2009 and 2010
versions assume that knowledge is a bilateral or multilateral development process. The early version
is process-oriented and later versions are relationship-oriented. The early version considered the
liability of foreignness as being the main obstacle to market entry and expansion while later versions,
assume that the liability of outsidership is the main obstacle when entering business networks. The
early version considers the internationalization process as a goal and later versions consider
internationalization as an outcome of the action (or joint action) that implements the strategic
development process of the focal firm (Johanson and Vahlne, 2011).
2.1.2.2.3. The Globalization Process Model
The behavioral approach of the state process models and interaction models from the Swedish school,
implicitly overlap two process which co-exist in parallel: the internationalization process and the
globalization process. Internationalization precedes globalization (Gabrielsson et al., 2006); however,
there is no clearly defined line demarcating the two processes. For Porter (1986) it is about developing
and implementing a strategy on a global scale. Thereby, Vahlne et al. (2011) developed a
globalization process model variant of the Uppsala internationalization process model to explain these
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phenomena. They claim that the internationalization process is a transition process from national to
international, and the globalization process an evolving shift of the focal firm from multinational
(MNC) to global. They assert that the internationalization features are bi-dimensional: the geography
and the mode of operation. While globalization is four-dimensional: geography, mode of operation,
configuration and coordination. This configuration has to do with the design and redesign of the value
chain and its coordination is the system of adjustment of roles and functions of the interdependent
units of the group.
The globalization process model is also a state process model similar to the establishment chain (of
the U-model). According to Ohmae (1985) globalization is a walkthrough typology pattern that starts
with a focal firm operating in its domestic market and getting involved in arm´s-length export
activities, then moving into new markets overseas that are linked to local dealers and distributors.
Afterwards, globalization takes over their local activities and carries out marketing and sales, and
later on manufacturing activities consolidating its full insider position, then moving towards a global-
oriented model of operation that denationalizes the operations and builds-up a system of values shared
by managers worldwide replacing the nation-based orientation. Although Vahlne et al. (2011) do not
fully subscribe to the Ohmae (1985) incremental typology, because of its last step of implementing
the global coordination mechanisms and tools.
The authors believe that the role of entities are differently organized regionally and group-wide to
satisfy specific local demands and ensure efficiency and effectiveness at a global level and the
accomplishment of global objectives.
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Figure 9 - The Globalization Process Model
State variables Change variables
Knowledge
opportunities
Decisions to
reconfigure and
redesign coordination
systems
Network position:
- Internally
- externally
Learning creating
Trust-building
Source: Vahlne et al. (2011)
As shown in the illustration (Figure 9), the nature of context (left quadrants) affects the change
processes (right quadrants) keeping the structural feature of a dynamic dyad between the state and
change variables as the original 1977, U-model. The first state variable (marketing knowledge on the
original model or knowledge opportunities on the 2009 and 2011 versions) remains intact without
any changes since the 2009 version of the Uppsala model. The second state variable (network
position) on the lower left quadrant is unchanged regarding the firm´s external commitment to third
outside parties within the networking. From the headquarters´ point of view an internal perspective
is also applied to the subsidiaries due to the inter-organizational network where the entities are units
engaged in social exchange relationships occupying an internal group-wide network position. The
upper right quadrant of the change variables (decisions to reconfigure and redesign coordination
systems) includes changes. These variables are modified to ensure the unit’s coordination in
compliance with its headquarters (HQ) wishes, adding also the reconfiguration of the value chain and
redesign of coordination mechanisms. The lower right quadrant of the change variables (learning,
creating and trust-building) additionally includes the internal units of the focal MNC.
2.1.2.2.4. The Uppsala model adjusted to the HQ – Subsidiary Issue
In addition, Vahlne et al. (2012:224) developed a model with the purpose of decreasing the
uncertainty and improving HQ management and the efficiency in the coordination of a global firm.
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They started by defining the global firm as a “loosely coupled network of far-flung subsidiaries with
hierarchically acting headquarters (HQ) that design a global organization to ensure support of its
global strategic agenda”. They believe that the process of HQ management in the global firm is
characterized by uncertainty (U) and the source of uncertainty is the liability of outsidership due to
the lack of knowledge of the parent company about the networks and activities of its subsidiaries.
Thus, this model focusses on the HQ´s coordination activities which is more complex and requires
further analysis. However, it overlooks the configuration activities that are relatively well understood
to be the challenges global firms seem to face to keep competitive: (i) new knowledge acquisition is
a subsidiary activity and it derives from clusters affiliation rather than in-house innovation (ii) firms
need to take their activities closer to customers and manufacturing where the environment is best
appropriate to those activities and as a consequence value chains are increasingly being divided and
located in different places far away from each other.
The coordination challenges are closely related to uncertainty, or the likelihood of an event to be
miscalculated because of its uniqueness in a given environment (Knight, 1921). The uncertainty
derives foremost from the impossibility to calculate the risk of opportunity identification when
considering the relationships of the subsidiaries within their local context, and some leeway of
interpretation and initiative of the subsidiaries with respect to the ambiguity of HQ goals. Therefore,
this model aims to be useful for HQ to manage uncertainty which has its origin on the liability of
outsidership and on the lack of knowledge about the far-flung subsidiaries’ networks and activities
(Vahlne et al., 2012).
Before we look in more detail at this model, we must first understand what motivates the MNCs to
become transnational. The bottom line question to be asked is, why do companies shift from
international to global? The answer lies in how the business can change the reality through the pursuit
of economies of scale and scope with the need to respond to the local conditions of each market
(Vahlne et al., 2012) and take local advantages (Porter, 1986). However, a global firm has an
underlying series of subsidiaries, of whom we briefly mentioned before in relation to its relationships
with HQ; however, clearly stating the role of these subsidiaries in a corporation´s global strategy.
Vahlne et al. (2012) consider subsidiaries as a set of allocated resources, which may individually have
a certain degree of autonomy and entrepreneurial activity that to some extent on their own initiative
assume differentiated roles in the overall strategy of a loosely coupled system (global firm).
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Managing distinctive subsidiaries in different environments across the globe and undertaking
different roles are high uncertainty processes. Therefore, the Uppsala adjusted model for HQ
management of subsidiaries, illustrated below, highlights two main coordinating aspects: the HQ-
subsidiary relationships and the HQ liability of outsidership in relation to subsidiaries, particularly to
their activities and networking.
Figure 10 – The Uppsala model adjusted to HQ-Subsidiary issue
State variables Change variables
Knowledge
Opportunities
Entrepreneurial
capabilities
Relationship
commitment decisions
Network position:
- Internally
- externally
Learning creating
Trust-building
Source: Vahlne et al. (2012)
The right-hand boxes (change variables) are the sub-processes that shape the HQ management of
subsidiaries. The lower box describes the knowledge acquisition through learning and creating, which
is often an interaction process with or from partners, external to the global firm or internal, i.e. the
focal subsidiary. The newly generated knowledge is about the subsidiaries´ activities and resources
and about external actors´ activities and resources in the local network. Trust-building is merely a
precondition required to leverage the learning and creating processes. The upper right-hand box of
commitment decisions may be separated by tangible/intangible and positive/negative. For example,
the HQ contribution with financial resources for a subsidiary-born new venture is an example of
tangible and positive, whereas verbal disagreements about a subsidiary´s project outline or even
cutting funds, are reverse or negative decisions, successively, with intangible and tangible nature. The
original Uppsala model also considered commitment but with a different design. Despite considering
resources allocation reflects a certain type and size of commitment; however it is exclusively a market
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commitment and not relationship commitment, lacking the business networking relationships and the
social exchange process. Thereby, the original U-model also did not include the new knowledge
creation originated from relationships because of its focus on market experiential knowledge. The
left-hand boxes are a snapshot of a moment in time.
2.1.2.2.6. The MBE Evolution Model
The MBE evolution model (Vahlne and Johanson, 2013) has implied a different theoretical approach,
bridging up the behavioral-based theory with the neoclassical economic theory of the eclectic
paradigm (Dunning, 1980). This archetype extended the spectrum of analysis by enlarging the MNE
(Multinational Enterprise) concept into the MBE´s (Multinational business enterprise) new concept,
widening also the state and change variables (into capabilities, processes, decisions and positions). In
the MBE (Multinational Business Enterprise) evolution model (Vahlne and Johanson, 2013) the
mechanism of internationalization (Johanson and Vahlne (1990) is refined through the evolutionary
path of the U-model, and therefore the variables (state and change) are wider theoretical constructs,
incorporating findings of the last descendant models. Compared with the original and other versions
of the U-model, the MBE evolution model analyses thoroughly the object of study (the organization
and its activities) according to the behavioral theory, adding elements from the evolutionary theory
of the firm, entrepreneurship theory, dynamic capabilities theory and the theory of the management
of uncertainty. As stated by the authors, “the Uppsala model originally was meant to explain the
characteristics of the process whereby firms internationalize” while currently the Uppsala paradigm
is “to explain how the individual MNE evolves over time” (Vahlne and Johanson, 2013:191).
Therefore, the 1977 internationalization process is circumscribed to a series of incremental decisions
for doing business outside the domestic market, regarding the variables knowledge, commitment (C),
perceived risk (R) and uncertainty (U) at a given time. While the MBE evolution model postulates
that the internationalization process consists of two intertwined sub-processes (learning and
commitment) with roots in business networks and dynamic capabilities (DCs) theories, which are
based on dyadic relationships of the focal firm with other actors, where the firm´s strategy towards
international operations is not independent, but relies on the exercise of mutual influence (focal firm-
partners) where the individual firm engages in non-risk free relationships, exchanging resources
(products, services, knowledge and information) both ways. Thus, in the MBE model, the network
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structure, comprising several dyadic relationships connected to each other, represents a crucial
investment for international business development that may constitute an organizational or ownership
advantage (Vahlne and Johanson, 2013; Vahlne and Johanson, 2017) versus the liability of
outsidership (Johanson and Vahlne, 2009). In contrast to the original Uppsala model (Johanson and
Vahlne, 1977), the MBE evolution model also makes clear that some resources are a public good as
experiential market knowledge, but other resources are available only to the network members
(network advantage).
It is noteworthy that the MBE model besides highlighting networks, it also attaches great importance
to the DC theory, recording both concepts (networks and capabilities) as enhancers of competitive
advantage in IB. The authors examined the resource-based view (RBV) and investigated the role of
organizational business processes when adjusting to the changing environment and they then divided
the DC concept into entrepreneurial and operational capabilities. The authors also dismantled the
entrepreneurial capabilities into “opportunity development capability”, “networking capability”, and
“internationalization capability”, underpinning that “…firms are not just passively adjusting to the
environment but actively seek to transform the environment” (Vahlne and Johanson, 2013:198)
underlining their effort to explore contingencies (Sarasvathy, 2001), dealing with uncertainty (Knight,
1921), ambiguity and complexity and act as a network itself (Bartlett and Goshal, 1989).
The authors also assert “(corporate) entrepreneurship is to a large extent what management is about"
(Vahlne and Johanson, 2013:199), stressing that, according to the Jamesian theory of action, human
action enhances the reduction of Knightian uncertainty, and manages to change the current state, due
to an in-built will that, when combined with experiential knowledge (path dependency), triggers
innovation processes and emerging changes.
The MBE evolution model (Vahlne and Johanson, 2013; Vahlne and Johanson, 2017) interplays state
and change variables (Figure 7) and explains how the MBE evolves as a network of relationships in
a continuously dynamic interaction process with other actors, given the firm current´s network
position, DCs, exogenous knowledge inputs (depending on absorptive capacity) and internal
commitment decisions regarding the firm management strategy.
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Figure 11 – The Uppsala Model of MBE Evolution
State variables Change variables
Dynamic capabilities
Opportunity development
capability
Internationalization
capability
Networking capability
Operational Capabilities
Commitment decisions
Reconfiguration
change of coordination
Network position
Inter-organizational
network position
Intra-organizational
network position
network power
Inter-organizational
processes
Learning
Creating
Trust-building
Source: Vahlne and Johanson (2013)
The inter-organizational processes (change variable) operates in a direct dependency of knowledge
learned (social capital) and new knowledge created (intellectual capital) through a social exchange
process with other parties that impacts future knowledge acquisition, therefore influencing the
forthcoming decision-making processes, and redundantly, the upcoming inter-organizational
processes and environment perceptions. However, the state variables describe the current status of
the firm at a certain moment (the degree of internationalization, capabilities, trust and commitment
for and from network partners, and finally, the network power-dependence relationship with other
members).
The upper left-hand box of the Uppsala model that was adjusted to the HQ–subsidiary issue (Vahlne
and Johanson, 2012) was replaced in the MBE model, giving place to dynamic capabilities and
operational capabilities, and moreover, the model gave room to the theory of organizational path
dependence (Teece et al., 1997; Sydow et al., 2009) due to historical organizational learning. The
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role of the firm towards the opportunities identification is also amended from a passive search mode
(Schweizer et al., 2010) or sense of alertness, to an active posture to explore contingential contexts.
In a dynamic and evolutionary process, operating in both directions, network-positioning (lower left-
hand box) conditions learning and commitment, and subsequently the purpose of improving
efficiency and promoting growth, but in turn, the last affects the management of uncertainty.
Likewise, capabilities (upper left-hand box) also condition commitment (C) which the authors
describe as the sum of tangible and intangible investments.
Ci = ∑ (Ti +Ii) (6)
The authors state moreover that the size of tangible commitment (STC) or tangible investment as a
combination of volume (VC) and degree (DC) of tangible commitment.
∆ STCi = (VCi * DCi) (7)
The DCs comprise three different categories: opportunity development capability (to identify
opportunities and underlying mobilization of resources), internationalization capability (to approach
different markets and locations) and the ability to coordinate relationships in a network context.
Vahlne and Johanson (2013) also assert commitment decisions lead to new decision-making
dynamics and enhance knowledge development processes. They share the view that learning is a
cumulative process, of transferring tacit or explicit knowledge to others members of the firm, through
a mechanism of search, imitation, of internationalization and dissemination.
As a final point, it is noted the effort of the researchers to keep the model parsimonious and maintain
the structural representativeness of the original U-model and other subsequent versions is noted. In
fact, the MBE evolution model, contains four variables, including the two change and the two state
variables. However, the data structure that is represented graphically in the model does not
demonstrate the multi-relational completeness among variables, neglecting the mediating role of the
influential variable on the influenced variable, and vice-versa. As a result, intra and inter variable
relationships are partially displayed and not consistent with theoretical alignment.
2.1.2.2.7. The General Model of Evolution of the MBE
The General Model of Evolution of the MBE focuses on the field of strategy evolution intending to
portray the evolvement of the international firm from early steps abroad to a global firm (GF) breadth
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(Vahlne and Johanson, 2017). The model is set upon the Pitelis and Teece (2011) concept of MBE
and it opposes to the MNE/MNC (Bartlett and Goshall, 1990). The MBE diverges from the
MNE/MNC since the MBEs are claimed to be the modern firms of process-orientation rather than
structure-orientation; network players instead of solo players, exchanging businesses rather than
production, with inherent pro-activity and entrepreneurship (not passivity) and the governance is
heterarchical (not hierarchical). The focal model has roots on the previous framework refered at the
latter subsection (Vahlne withand Joahnson, 2013) claiming that the capability-creation processes as
generators of MBE capabilities of firm-specific advantages. The model attempts to integrate two
different views (processes and content) as two intertwined dimensions of the strategy evolution,
anchored on the process ontology then discussed. The model values the process-based view over the
economic-based view of the multinational activity since, the latter only allow the comprehension
efficiency properties of discrete decisions and resources combinations, while the the process view
evaluates the interaction of decisions at micro level (individual firm), mille-micro level (individuals
and sub-groups within the organization) and resources recombination over time, being therefore more
consistent with longitudinal studies of the resource-based and capability-based views of MBEs
(Barney, 1986, 1991, cited in Vahlne and Johanson, 2017).
Figure 12 – The general model of evolution of Multinational Business Enterprise (MBE)
State variables Change variables
Capabilities
Commitment processes
Commitments /
Performance
Knowledge development
processes
Source: Vahlne and Johanson (2017)
Despite being process-centric the latter archetype reinforces the holistic view of the original Uppsala
model to the explanation of the firm internationalization and MBE evolution and augments the
theoretical perspective of the latter model (Figure 12). It is argued a clear heterarchical
(descentralized) organizational structural approach aligned with the governance typology of
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descentralized federation of European MNCs, though making the apology of the transnational global
strategies positioning the networks as pivotal and the markets as interdependent (Bartlett and Goshall,
1990). The model immerses entirely into the capability-creation/building and its process view on the
one hand towards the leveraging of market commitment through the subsets of reconfiguration and
coordination (of commitment processes), and on the other through the knowledge development
process, consider the historical dependencies of the firm and centered on governance efficiency and
economies of scale (Vahlne and Johanson, 2017).
At the end of this section we would like to make a remark upon the casino model of
internationalization as a contemporary alternative framework attempting to balance two opposing
microeconomic-level perspectives along the continuum of internationalization decision-making
stances: the U-model (the risk avoidance gradualistic perspective of internationalization) and the BG
firm (the risk taking rapid international expansion) (Håkanson and Kappen, 2017). The casino model
postulates an alternative approach on the theoretical fields of behavioral economics and
internationalization theory to illuminate the decision-making patterns of practitioners at the corporate
scope of the organizations. Using a cox proportional hazard model to empirically analyse longitudinal
data of past internationalization decisions of four companies with diverse economic activities the
model advocates that the internationalization decisions are contigent to the resource-bases, structure
configurations and activity knowledge. Commitment decisions account for both, market specific and
general market attractiveness with regard to and the overall portfolio of countries of engagement or
interest.
Sharing with the U-model the same etimology, the casino model contains vast resemblances to the
first. We have not epitomized it as a descendent model of the Uppsala School since the authors of the
casino model claim its function as an additional and complementary framework to the Uppsala and
BG. Yet, its morphology uncovers a multi-tier process model of internationalization with three phases
(agent phase, establishment of sales and subsequent production units coordination) with risk analysis
and commitment decisions based upon market knowledge, which clear similarities with the basic
mechanism of internationalization of the original Johanson and Vahlne´s (1977) state and changes
variables of the Uppsala model. In parallel, it exhibits the adherence to other descending models of
the Uppsala School, with relation to business networks and international venturing theories. The
casino model data analysis, findings and conclusions may be criticized for the thinness of its inductive
contribution to the the internationalization theory as it does not enlarge at great extend the body of
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theory in the field. Nevertheless, its approach reveals distinctive features from the U-model. First, the
casino model´s rationale considers that the decisions of the firms account simultaneously for market-
specific and general markets´ attractiveness, is grounded on empirical validity (despite the size and
heterogeneity of the sample) and is congruent with the concepts of scarcity and validity in the
taxonomies of Barney (1986) and Grant (2010) for testing resources and capabilities bundles with
regard to relatedness to industry´s competition. Rooted in the RBT, the model recognizes the
criticality of capabilization; however without referring explicitly to the seminal dynamic capabilities
theory (DCT) and to its influence to industry´s competition as addressed in-depth in the next section.
Although, the casino model suggests a wave-like pattern logic of internationalization for foreign
establishments based on the tripartite contingency of resources availability, organizational structure
and activity knowledge. A last mention to the logic of waves of the model that does not establish an
adequate bridge to the organizational theory despite acknowledging structure variances among firms
and idiosyncratic characteristics and interculturality and cross-cultural management issues. Thus, the
model requires further grounding, on RBT/DCT and organizational theory (namely organizational
structure´s configurations and international coordination systems), cross-cultural theory and strategy
theory (corporate and business-level strategy, cooperative and innovation strategies) in order to
comprehend and contextualize the empirical testing of the model within a wider body of theory.
2.2. Organizational Capabilities (OCs)
2.2.1. The OCs and the U-Model
The strategy and internationalization-related literature widely recognizes the prominence of
organizational capabilities (OC) as seminal factor conditions for the internationalization processes
and their underlying international success of the firm (Bailie, Bowden and Meyer, 2013; Gassman
and Keup, 2007; Prange and Verdier, 2011). The established link (internationalization - capabilities)
arguing the virtues of capabilities (possession and usage) in the (industry) competition triggered the
exploration of the capability-related theories. Therefore, in subsection 2.2. Dynamic Capabilities
View (DCV) we explore the realm of the OCs (within the RBT - resource-based theory), focusing on
a specific subset of OCs, the dynamic capabilities (DCs) as prior studies advocate these as a
prerogative for attaining long-term/sustainable competitive advantages (Barney, 1986, 1991; Collis,
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1994; Teece et al., 1997; Thomas and Pollock, 1999; Audia, Locke and Smith, 2000; Zahra and
George, 2002;Wang and Ahmed, 2007).
In the aforementioned subsection, we began with an etymological approach to the foundations of
OCs. Thus, a contextualization of the topic was undertaken within the resource-based view (RBV)
focusing on the DCs and particularly on those leveraged internationally as global dynamic capabilities
(GDCs) (Griffith and Harvey, 2001; Luo, 2001; Madhok and Osegowitsch, 2000). Additionally, we
explore conceptualizations to disclose the evolvement of this research field, the configuration of its
capabilities, and the deployment of its processes, which comprise functional and geographical
mobility, international transferability and mutability characteristics - between headquarters (H) and
subsidiaries (S). Likewise, we address the capabilisation process and capability-building strategies of
the firms, unveiling empirical studies (and evidences) of DCs and GDCs. As the comprehension of
the morphological composition of the capabilities determines the illumination of its international
trajectories (and their role), the configuration of capabilities encompasses aspects such as the
hierarchies, categories, properties and allows for the reflection upon intra-capability commonalities.
It is noteworthy to mention the ambidexterian relation between international processes and
capabilities deployment. The latter influences and is influenced by the first, and moreover, blend as
capability-building strategies are combined with internationalization strategies, generating (second-
order and third-order) dynamic internationalization capabilities (Teece, 2016; Beer, 2013; Prange and
Verdier, 2011). Here it is compelling to return to the U-model due to its decisive contribution for the
clarification of its dyadic relation brcause the U-model is an upholder of the capability-building
strategies in international business context since the basic mechanism of internationalization by
Johanson and Vahlne (1977) where the marketing capabilities evoked by Prange and Verdier (2011)
are ancestrally advocated for (or more recently, the entrepreneurial capabilities, equivalent to the
organizational capital construct in economic theory) (Teece, 2016; Schweizer et al., 2010; Prescott
and Visscher, 1980). Most specifically, the market knowledge (MK) capability, which assumes a
central position in the original model. The U-model draws attention to this dyad, and introduces
remarks concerning the capability-building process, which are embodied in three seminal constructs,
core-rigidity, path dependency and absorptive capacity, as addressed in the subsection 2.1. The
Uppsala Model (U-model). First, this model considers the importance of the interfaces of a firm with
the overseas environments, and the internal dynamism to accommodate internally leveraged or
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externally leveraged new or adaptive competences, as a process and outcome of attaining social and
intellectual capital. Complementarily, refers to the risk of the core-competences focus, turning into a
static behavior pattern, which can lead to institutional isomorphism, where the core-competences may
transform into core-rigidities, frozen in time and consequently, lacking adequacy and utility to sustain
the focal host-markets (Leonard‐Barton, 1992; Prahalad and Hamel, 1990; Grant, 2010). Second,this
model considers that the capabilisation process begins not in current time, been previously determined
by the route that the company crossed until the present that built its identity. Therefore, that path
molded the bundle of capabilities, and the current capabilisation process depends on the historical
evolvement of the firm, comprised in the path dependency concept (Zahra and George, 2002; Kraatz
and Zajac, 2001). Finally, the absorptive capacity of the firm, accounts for the promptitude to cope
with the incoming flow of stimuli to be individually apprehended and systematized across the
organization, and materialized into organizational learning. In this sense, the constructs rooted in the
Uppsala model, abortive capacity and organizational learning are capabilities themselves that
determine the capability building strategies, which the University of Uppsala foresaw in advance, and
which the empirical studies since presented on the DCV corroborate (Wang and Ahmed, 2007;
Weewardena et al., 2007).
2.2.2. The Dynamic Capabilities View (DCV)
The emerging changing patterns in international competition (Porter, 1986a), and the proliferation of
contemporary accelerated modes of international entrepreneurship and venturing are acknowledged,
as global start-ups (Oviatt, McDougall and Loper, 1995), born-globals (Gabrielsson et al., 2008) and
gazelles firms (Acs and Mueller, 2008). The effects of economic globalization (Held et al., 2000) and
market dynamics – hyper-competition and hyper-velocity (Grifith and Harvey, 2001) is a topic that
defy the firm´s cognitive and managerial abilities (Nielsen, 2006) as a business quandary requiring a
state of awareness and preparation to deal with such imperative challenges. So the fundamental
question that the organizations ought to raise themselves is, which competences should hold to face
the market´s behaviour and dynamics, and subsequently, how to establish and manage these
competences. A primary assumption shall be set forth. Proprietorship of resources and capabilities is
beneficial (whether local, regional or global), conferring a competitive tools package in international
markets that issuppoted by several scholars, ensuring a correlation of organizational resources and
capabilities with superior rent-generation and financial fruition (Zahra and George, 2002),
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deployment of performance (Audia, Locke and Smith, 2000), and obtainment of competitive
advantage (Wang and Ahmed, 2007; Eisenhardt and Martin, 2000; Thomas and Pollock, 1999; Teece
et al., 1997; Barney, 1991, 1986). The latter is justified due to its VRI characteristics (McGrath,
MacMillan and Venkatraman, 1995; Cardeal and António, 2012) of resources, processes, assets and
capabilities conferring a unique source of competitive advantage. Furthermore, some authors
advocate for dynamic capabilities (e.g. Teece, Pisano and Shuen, 1997; Eisenhardt and Martin, 2000)
as the sub-set of organizational capabilities generators of long-lasting competitive advantage in global
market competition (Cepeda and Vera, 2007).
Our research is based on two major areas: organizational resources and international competition.
Under these categories, we explore, the organizational resources/capabilities theory and international
competition theory. We revisited the resource-based view (RBV) and proceeded to the dynamic
capabilities view (DCV) one that is pointed as the ultimate source of sustainable competitive
advantage. In parallel, we applied the most frequently cited internationalization model of the Swedish
school, from Uppsala University, known as the Uppsala model (U-model) as an observational
platform for DCs (Forsgren, Holm and Johanson, 2015; Oviatt and McDougall, 1994; Andersen,
1993). Following the lead of the RBV we followed the Penrosian and Barney´s role in the U-model
as theoretical grounding for the dynamic capabilities view (DCV) and, specifically, for the design of
the Teecian seminal definition. We reviewed the etymology of the DCV since its RBV roots, exposed
the myriad of DC definitions in the bibliometric analysis of DiStefano, Peteraf and Verona (2014)
and identified the two main streams in the literature of Teece, Pisano and Shuen, (1997) and
Eisenhardt and Martin (2000) familiarly knowned as TPS and EM, to build our theoretical
underpinning, following the TPS reasoning for continuing our research. We identified commonalities,
hierarchization and deployment in the DC literature, and proceeded to the revision of evidence of
transnational mobility of DCs as a testimony to prior empirical research on the existence of
transferability of DCs, and the applicability of DCs in multiple markets, so that they can be
classifiable as global dynamic capabilities (GDCs). Simultaneously, we analysed the U-model to
examine the applicability of GDCs. Therefore we looked into the basic mechanism of
internationalization of both the initial U-model (Johanson and Vahlne, 1977), and further descending
models of the Uppsala school, such as, the model of industrial markets (Johanson and Mattson, 1988),
the business network model (Johanson and Vahlne, 2009), the entrepreneurial process model
(Schweizer et al., 2010), the globalization process model (Vahlne et al., 2011), the Uppsala adjusted
model for HQ management of subsidiaries (Vahlne et al., 2012), and the model for multinational
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business enterprise (MBE) evolution (Vahlne et al., 2013). Through the cross-analysis of DCV/U-
model, we realized that, despite the growing attention to this field as, materialized in an increasing
number of publications, empirical research on DCs at the firm-level is still scarce and the field lacks
scales of measurement for DC observation. Given this background, the research of Helfat and Peteraf
(2009) add a contribution to the advancement of this area of investigation, while focusing on the
development of metrics. However, the field of GDCs remains fairly unexplored, and sensitive aspects
of DC trans-nationalization lack attention, so building up GDC theory is dependent on the
development of further research in the topics of cross-cultural and intercultural settings, ecosystems
and national comparative positioning, and DC features such as mobility, transferability and
mutability. Our study clearly points out two gaps in the DCV. The first is related to the development
of metric tools for the development of empirical research (on measurement scales and levels of
observance), and the second, on theory building, particularly, GDC theory, while research into the
processes of the international mobility of DCs remain unexplored. Despite that many commonalities
are highlighted in the DCV literature, such as flexibility, mobility, transferability and mutability;
however, the comprehension of the occurrence of those features and their morphological changes
continues to remain unmapped. Finally our study while bridging DCV/U-model pinpoints GDCs in
the U-model, and reveals, a capability-based model strategy that is diversified and intensified over
the descendant models.
2.2.2.1. The Micro-foundations of Dynamic Capabilities (DCs)
One particular focus on dynamic capabilities research appears to meet in a group of seven (the most)
influential theoretical perspectives in this field: (i) the resource-based view; (ii) the knowledge-based
view; (iii) the behavioral theory; (iv) the evolutionary economics; (v) the network theory; (vi) the
transaction cost economics; and (vii) the positioning view (DiStefano, Peteraf and Verona, 2014).
Although, there is perceived a bifurcated dominance of the evolutionary economics accompanied
uniquely by the resource-based theory revealing “preferences regarding the most promising theories
for developing the dynamic capabilities construct further” (DiStefano, Peteraf and Verona, 2014:
311). With foundations built upon the resource-based view (RBV) of the firm (Peteraf, 1993; Barney,
1986, 1991; Wernerfelt, 1984; Penrose, 1959), as described below, the notion of dynamic capabilities
(hereafter DC), considered the ultimate source of competitive advantage, has been catapulted to the
forefront of strategy research (Cepeda and Vera, 2007), while the theorization about the dynamic
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capabilities view (DCV) seems to extend and revitalize the organizational capabilities research (Wang
and Ahmed, 2007; Teece, Pisano and Shuen, 2007; Eisenhardt and Martin, 2000; Cepeda and Vera,
2007), establishing itself as the touchstone of firm-based performance-focused theory (Arend and
Bromiley, 2009). The resource-based theory, grounded on the Ricardian and evolutionary economics
(Helfat and Peteraf, 2009), aims to explain how firms achieve and sustain competitive advantage
based on resources (possession/control) and capabilities (capacities to deploy the performance of the
firm) (Audia, Locke and Smith, 2000), advocating the idiosyncratic and difficult-to-imitate resources,
processes, assets and capabilities as the source of competitive advantage, (Wang and Ahmed, 2007;
Eisenhardt and Martins, 2000; Thomas and Pollock, 1999; Teece et al., 1997; Barney, 1986, 1991).
Despite its significance, the RBV gathered some criticism, as the resources are static (and dependent
on market inertia and tautological, being deterministic of competitive advantage, without clarifying
the mechanism of transforming resource-advantage into competitive advantage (Priem and Butler,
2001; Barney, 2001; Eisenhardt and Martin, 2000; Williamson, 1999; Mosakowski and McKelvey,
1997). Thus, resource-based theory fails to address, environmental changes, market dynamism and
firm evolution over time, due to its simplified strategic analysis, which is based on the immobility of
product markets and the immutability of the demand (Wang and Ahmed, 2007). The dynamics of
change and the path-dependent evolution of resources and capabilities are central concerns of
contemporary strategic management (Pettus, Kor and Mahoney, 2009), and the DCV aims to
comprehend their role in the sustainable capture and maintenance competitive advantage of the firm
(Teece, 2007), as the most central and difficult question in strategy research (Cheng and Jaw, 2009;
Helfat and Peteraf, 2009), while addressing wide threads rooted in organizational and behavioral
theory, comprising the managerial decision-making, routines and processes, and organizational
learning and growth (Helfat and Peteraf, 2009; Teece, 2007; Zollo and Winter, 2002).
Some scholars endeavoured to integrate both conceptualizations (RBV-DCV) considering the
evolutionary nature of resources and capabilities (Zahra and George, 2002; Makadok, 2001;
Eisenhardt and Martin, 2000; Helfat, 1997; Teece Pisano and Shuen, 1997). The RBV emphasizes
that the competitive advantage is characterized by resources and capabilities that cannot be easily
imitated or substituted, and therefore, are valuable and rent-generating assets, while the DCV
pinpoints the management of a firm´s capabilities for attaining a sustainable competitive advantage
for changing ecosystems (Lawson and Samson, 2001; Amit and Schoemaker, 1993; Hamel and
Prahalad, 1994; Barney, 1986, 1991). Pro-integrationists postulate the complementarity of RBV-
DCV is based upon a common research ground, spanning market competitiveness and the business
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environment. Both perspectives address competitive differentiation and market dynamism issues. In
this sense, early definitions of dynamic capabilities, were considered prescriptive of RBV limitations,
as a remedy to the business competitiveness of rapidly changing markets, hypercompetitive (or next-
generation competitive) and high-velocity environments (Teece and Pisano, 1994). The rationale is
that resources ownership, per se does not adequately explain the sustainable competitiveness
advantage, at unstable and unpredictable environments, even holding VRIN (valuable, rare,
inimitable, and non-substitutable) attributes. Firms are dependent on their own adaptive changing
features (organizational structure, and firm dynamism) to produce competence-generating strategic
processes (McGrath, MacMillan and Venkatraman, 1995) and adjust to the competitive environment.
Complementarily, a recent study asserts that the firm´s organizational (“O”) resources of VRIO
(valuable, rare, inimitable, organization) core-features, originates VRI capabilities (contradicting the
inertia of institutional capabilities advocated by Lieberman and Montgomery (1988). In contrast,
same authors emphasize that current VRI capabilities, are dynamic capabilities in themselves which
do not require a VRIO resources to persevere in a certain environment (Cardeal and António, 2012).
In summary, long-lasting competitive advantage through VRI+N/VRI+O resource possession, is
conditioned to low efficiency markets, which is akin to low market dynamism and change.
Henceforth, in a dynamic market’s environment, VRIN/VRIO resources are not durable and therefore
are not a source of sustainable competitive advantage since that role is transferred to the dynamic
capabilities, as suitable competences to Schumpeterian regimes of rapid change (Lee, Lee and Rho,
2002).
2.2.2.2 Dynamic capabilities: Main critics and open-questions
Significant contributions were made to the advancement of the DC theory, mostly regarding its
conceptualization, nature, morphological characterization, and symbiotic relationships and
thresholds. Hence, the hermeneutical and positivistic approaches of some authors focused rather on
extending the knowledge of the DC features and commonalities, as follows: typology
(strategic/operational), mobility (global/non-global), hierarchy (dynamic and operational), activity-
level (incremental, renewing and regenerative), internal processes (reconfiguration, leveraging,
learning and integration) (Wang and Ahmed, 2007; Ambrosini, Bowman and Collier, 2007; Cepeda
and Vera, 2007; Zahra, Sapienza and Davidsson, 2006;Winter, 2003; Bowman and Ambrosini, 2003;
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Danneels, 2002; Collis, 1994), and practicalities, as innovation capability (Lawson and Samson,
2001), entrepreneurial capability (Arthurs and Busenitz, 2006; Weewardena et al., 2007), learning
capability, networking capability and marketing capability (Weewardena et al., 2007), adaptive,
absorptive and innovative capability (Wang and Ahmed, 2007), and R&D capability (Rothaermel and
Hess, 2007). Nonetheless, a lack of consensus seems to exist regarding the circumscription of the
definition of dynamic capabilities. Thereby it is perceived the criticality of the emergence of a
universal agreement on the construct for the advancement and enlargement of the scope of research.
In parallel, some criticism emerges regarding its contribution and practical implications. The main
critiques and open-questions were related to construct utility and meaning (Winter, 2003; DiStefano,
Peteraf and Verona, 2010); teleological stance (Arend and Bromiley, 2009); literary immaturity
(Ambrosini, Bowman and Collier, 2009; Cepeda and Vera, 2007; Priem and Butler, 2001; Williamson
1999); inconsistencies in DCV theory (Zahra, Sapienza and Davidsson, 2006); lack of empirical
grounding (Williamson, 1999); disconnected findings (Wang and Ahmed, 2007); lack of empirical
research at the firm-level (Wang and Ahmed, 2007) and empirical research of longitudinal time series
data (Arend and Bromiley, 2009). Furthermore, it is considered an abstract and intractable
conceptualization (Daneels, 2008) and an “elusive black box” (Pavlou and Sawy, 2011:239) with the
following features: tautology (Priem and Butler, 2001); prescriptivism (Teece, Pisano and Shuen,
1997); idiosyncrasy (Wheeler, 2002); volatility/mutability, enhanced by geographical location)
(Cepeda and Vera, 2007), dependency (on the firm´s absorptive capacity, historical path, and business
environment´s geographical location (Dierickx and Cool, 1989; Teece, Pisano and Shuen, 1997;
Ambrosini, Bowman and Collier, 2009; Eisenhardt and Martin, 2000; Deed, DeCarolis and Coombs,
1999), complexity and tacticity (Dierickx and Cool, 1989); ambiguity (Williamson, 1999), and
opacity – difficult to observe/hidden or invisible (Simonin, 1999; Itami, 1987). Other authors pinpoint
that the core rigidities of the DCs are related to changing resources value over time (Lawson and
Samson, 2001), and they question their role in sustaining competitive advantage, advocating that DC
does not guarantee organizational success or survival, creating uniquely indirect value (Zahra,
Sapienza and Davidsson, 2006), without producing goods or provisions (Helfat and Peteraf, 2003). It
is also comprehended one dichotomous position (enabler vs. outcome) towards sustainable
competitive advantage (Helfat and Peteraf, 2009), is also understood, and the indefiniteness of which
DC theory contributes to the company's performance (Lawson and Samson, 2001), due to the breadth,
interdisciplinarity and complexity of the issues addressed (Helfat and Peteraf, 2009), covers most of
the main areas of business administration - specifically, marketing, human resources management,
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international management, operations management, information management, and entrepreneurship
(Barreto, 2010) - being elusive, evasive and resistant to observation and measurement (Kraatz and
Zajac, 2001). Yet, Arend and Bromiley (2009) emphasize the lack of coherent theoretical foundation
of the DCV, unclear added-value to existing concepts, weak empirical support, unclear practical
implications and lack of longitudinal time series data, being aligned with Zahra and George (2002)
remarking that the lack of research about performance - as an outcome measurement of DC
effectiveness. The negative side of path dependency is also highlighted as, hindering the creativity
and improvisation while firm rely on organizational memory, as a knowledge base for future ventures
(Moorman and Miner, 1998).
2.2.2.3. Conceptualization and Theoretical Framework
Reflecting on the DCV, and theorizing about DC as construct, some scholars perceived the
phenomena of conceptual redundancy, and terminological heterogeneity, acknowledging in the
literature some ambiguities, inconsistencies, contradictions, overlapping definitions, and
misperceptions with other tangent conceptualizations (Easterby-Smith and Prieto, 2008; Cepeda and
Vera, 2007; Zahra, Sapienza and Davidsson, 2006; Winter, 2003; Salvato, 2003; Thomas and Pollock,
1999). Furthermore, the DCV is criticized for the lack of coherent theoretical foundation, unclear
added-value to existing concepts, weak empirical support and unclear practical implications (Arend
and Bromiley (2009). In this manner, scholars allege that the theme is at a very early stage of literary
ripeness, and empirical work is still scarce (Ambrosini, Bowman and Collier, 2009; Helfat and
Peteraf, 2009; Cepeda and Vera, 2007; Priem and Butler, 2001; Williamson, 1999). Thus, the absence
of a universal definition for dynamic capabilities is verified (DiStefano, Peteraf and Verona, 2010),
and findings remain disconnected (Wang and Ahmed, 2007). Nevertheless, as the theoretical
framework keeps evolving, more recent studies acknowledge a converging path that bridges different
conceptualizations (Cepeda and Vera, 2007; Easterby-Smith and Prieto, 2008; DiStefano, Peteraf and
Verona, 2010).
Reviewing the DCV literature from its foundations, and covering the most cited papers presented in
recent bibliometric analysis (Di Stefano, Peteraf and Verona, 2010) and historiographic analysis
(Peteraf, Di Stefano and Verona, 2013) and further contributions, Table 1 exhibits a chronological
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evolvement of the DC definition, while Table 2 shows an inventory of the core features for an ex post
cross-comparison and clarification of the construct.
Table 1 - Chronology and Evolvement of the DC construct
Author Definition
Kogut and Zander (1992) Organizational processes by which firms synthetize and acquire
knowledge resources, and generate new applications for the
resources
Pisano (1994);
and adopted by Grant (1996)
Organizational and strategical routines by which managers acquire,
integrate and recombine resources to generate new-value creating
strategies
Teece and Pisano (1994);
and adopted by Lawson and Samson
(2001)
Subset of the competences/capabilities which allow the
firm to create new products and processes, and respond to changing
market circumstances
Teece, Pisano and Shuen (1997);
and adopted by Zahra and George
(2002); Wheeler (2002); Zott
(2003); Oliver and Holzinger
(2008); Pavlou and Sawy (2011)
Firm´s ability to integrate, build and reconfigure internal and
external competences to address rapid changing markets
Helfat (1997)
Subset of the competences/capabilities which allow the firm to
create new products and processes and respond to changing market
circumstances
Zollo and Winter (1999);
and adopted by Rindova and Kotha
(2001)
A learned pattern of collective activity through which the
organization systematically generates and modifies its operational
routines
Eisenhardt and Martin (2000);
and adopted by Wheeler (2002);
King and Tucci (2002); Blyler and
Coff (2003); Weerawardena et al.
(2007);
Organizational and strategic routines by which companies achieve
new resource configuration, according to market dynamism
Griffith and Harvey (2001) Creation of difficult-to-imitate combinations of resources
Edwards (2001) Ability to sense opportunities and threats, to make timely decisions,
to make oriented decisions, and change the firm resource-base
Luo (2001) ability to create, deploy, and upgrade organizationally embedded
and return-generating resources in pursuit of sustained competitive
advantages
Lee, Lee and Rho (2002) A newer source of competitive advantage in conceptualizing how
firms are able to cope with environmental changes
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Zollo and Winter (2002) Learned and stable pattern of collective activity through which the
organization systematically generates and modifies its operating
routines in pursuit of improved effectiveness
Winter (2003) Those (capabilities) that operate to extend, modify, or create
ordinary capabilities
Jantunen et al. (2005) Assets, processes and structures that enable them to sense and seize
new opportunities and renew their asset base
López (2005) Dynamic capabilities are complex high order organizational
process, which provide adequate conditions for the modification
and renewal of the firm´s stock of business assets
Zahra, Sapienza and Davidsson
(2006)
Abilities to reconfigure a firm’s resources and routines in the
manner envisioned and deemed appropriate by its principal
decision-maker(s)
Cepeda and Vera (2007) Process to reconfigure a firm´s resources and operational routines,
providing a change on how organizational members do things
Wang and Ahmed (2007) Behavioural orientation to integrate, reconfigure, renew and
recreate its resources, capabilities and upgrade and reconstruct its
core capabilities in response to the changing environment to attain
and sustain competitive advantage
Helfat et al. (2007);
and adopted by Ambrosini,
Bowman and Collier (2009)
The capacity of an organization to purposefully create, extend or
modify its resource base
Barreto (2010)
The firm´s potential to systematically solve problems, formed by
its propensity to sense opportunities and threats, to make timely and
market-oriented decisions, and to change its resource base
Teece (2010) The ability to sense and seize opportunities quickly and proficiently
Teece (2012) Higher-level competences that determine the firm´s ability to
integrate, build and reconfigure internal and external
resources/competences to address, and possibly shape, rapidly
changing business environments
Teece (2014) Are undergired by processes (routines) and resources (positions)
and rely not just on best practices but on signature practices, not
just on any resources but on VRIN resources
Al-Aali and Teece (2014) Higher-order capabilities that govern how the organization´s
ordinary capabilities are developed, augmented, winnowed and
combined.
Lessard, Teece and Leih (2016) Adjustment and recombination of existing resources as well as the
development of new ones
Source: Own elaboration
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The perception of conceptual diversity surrounding DC seems to derive from its interdisciplinary
nature within social sciences, and breadth and complexity of the topic, spanning the domains of
strategy process and content, involving multiple levels of analysis, from managerial decision-
processes, to organizational routines, to competitive interactions and environmental change (Helfat
and Peteraf, 2009); thereby, generating the misperceptions, and semantic blurriness explained by the
indiscriminate misuse of constructs and subsequently, leading to terminological heterogeneity.
Bringing together the DC conceptual diversity, we systematize the components and features of each
definition for an ensuing systematic cross-analysis in an attempt to comprehend the academic stances
of the cited authors, displaying their components to obtain an anchor definition for further research.
Table 2 accounts for the elements contained in the various definitions, in order to register patterns,
distinctiveness, similarities, and chronological evolvements. These were considered the papers with
the highest number of citations in the field and the main theorists on DCV who either set the basis for
DC theory development and/or are most commonly identified in the literature.
Table 2 – Commonalities in DC definitions
Authors Commonalilities
A As Ac C Co D Ep P R Ro S So
Kogut and Zander (1992) √ √ √
Pisano (1994) √ √ √
Teece and Pisano (1994) √ √ √
Grant (1996) √ √ √
Teece, Pisano and Shuen (1997) √ √
Helfat (1997) √ √ √
Eisenhardt and Martin (2000) √ √ √
Griffith and Harvey (2001) √ √
Zollo and Winter (1999) √ √ √
Edwards (2001) √
Luo (2001) √ √ √
Lee et al. (2002) √ √
Zollo and Winter (2002) √ √ √
Winter (2003) √ √
Blyler and Coff (2003) √ √ √
Zott (2003) √ √
López (2005) √ √
Jantunen et al. (2005) √ √ √ √
Zahra, Sapienza, Davidsson (2006) √ √ √ √
Teece (2007) √ √
Wang and Ahmed (2007) √ √ √ √ √
Helfat et al. (2007) √ √
Cepeda and Vera (2007) √ √ √
Weerawardena et al. (2007) √ √ √
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Ambrosini, Bowman, Collier
(2009)
√ √
Barreto (2010) √ √
Teece (2010) √ √
Teece (2012) √ √ √
Teece (2014) √ √ √
Al-Aali and Teece (2014) √ √
Lessard, Teece and Leih (2016) √ √
Source: Own elaboration
(A – Abilities; Ac- Activities; As – Assets; C - Capabilities; Co – Competences; D – Dynamism; Environment perception; P -
Processes; R – Resources; Ro – Routines; S – Structures; So – Sources)
Two common features in total definitions presented in Table 2 are observed: it accounts the dynamic
capabilities components (morphology) and activity - internal or market-oriented (behavior). The
subliminal acceptance of dynamism while conceptualizing DC is unanimous among the theorists, in
contrast to the heterogeneity of the proposals about the etymological composition, revealing a
divergence at a morphological level when explaining the nature of the formation of a dynamic
capability. The D (dynamism) and R (resources) are unifying characteristics, and the remaining
components share different levels of acceptance. Ro (Routines) collects partial acceptance of
numerous authors, occasionally being deprecated by P (Processes) while Ep (Environment
perception) seems to be capturing growing interest in recent definitions (Teece, 2007; Ambrosini,
Bowman and Collier, 2009; Barreto, 2010). Other components are more scarce (A – Abilities; As –
Assets; C - Capabilities; Co – Competences; S – Structures; So – Sources).
With respect to the exposed definitions, two stand out, with far more citations at ISI Web of Science,
as two clusters of authorship, which are seemingly complementary and mutually exclusive theoretical
streams of literature, although being asserted as separate and contradictory visions - the Teecian (TPS)
approach and Eisenhardtian (EM) approach (Peteraf, DiStefano and Verona, 2013). The first under
the influence of the seminal paper of Teece, Pisano and Shuen (1997) focused on a firm´s sustainable
competitive advantage in rapidly changing markets, and the second by Eisenhardt and Martin (2000),
reconceptualizing its boundaries and mechanisms for enhancing market competitiveness at a high
velocity and uncertain conditions.
We adopt the seminal definition of Teece, Pisano and Shuen (1997:516) “the firm´s ability to
integrate, build and reconfigure internal and external competences to address rapidly changing
environments” which is considered, the most influential in DC literature (Di Stefano, Peteraf and
Verona, 2010), although embedding in the disagregation of capabilities of Teece (2007, 2010) on
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sensing/shaping opportunities and threats, seizing opportunities (quickly and proficiently), and
maintaining competitiveness through enhancing, combining, protecting and reconfiguring intangible
and tangible assets. The TPS model of Teece, Pisano and Shuen (1997) explains competitive
advantage through organizational and managerial processes, shaped by the positioning of assets and
path availability (Figure 13).
Figure 13-The TPS Model
Source: Arend and Bromley (2009)
The aforementioned is a definition with a theoretical underpinning covering nature, role, context,
creation, development, outcome and heterogeneity (Barreto, 2010), and its scope comprises DC
components contained in other definitions. Rooted in the concept of core competency (Leonard-
Barton, 1962; Hayes, Wheelwright and Clark, 1988; Prahalad and Hamel, 1990), similarly named as
distinctive competency (Snow and Hrebiniak, 1980; Hitt and Ireland, 1985), the authors underpin that
core competencies are enhanced through the combination of appropriate complementary assets. They
argue that the existence of firm-specific assets are hardly imitable (i.e. resources), and they
acknowledge the organizational and managerial processes, positions and paths, assuming an
evolutionary economics perspective, while enunciating the role of routines, path dependencies and
organizational learning. This definition focused on the external context of the firm, addressed market
dynamism, and environment change issues, constituting an extension of the RBV towards rapid
changing markets for attaining and sustaining a competitive advantage. Furthermore, the focal
definition of Teece et al. (1997) is aligned with the notion of Kogut and and Zander (1992) of
combinative capabilities in such as, the competences of the firm consist of sets of combined
competences at any given moment, which may be changed into new applications, and altered the
bundle of assets (resources). Yet it should be acknowledged that the complementarities in the TPS
and EM approaches. The core intellectual structure of the TPS definition ascertains that the
reconfiguration of organizational competencies, such as a DC. Symmetrically, the EM approach
builds its underpinning upon the outcome of the reconfiguration process. Both subliminally recognise
Processes
Positions
Paths
Dynamic
Capabilities Competitive Advantage
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that successful reconfiguration-based processes of organizational capabilities lead to DC formation
(Figure 14).
Figure 14 – The Reconfiguration Process: Converge of the TPS-EM in DC formation
Source: Own elaboration
The TPS perspective outlooks a category of DC (type 1), underlying the reconfiguration capability
itself. The EM perspective also acknowledges the reconfiguration design, though advocating that
capabilities emerge from the reconfiguration process (DC type 2), through the instrumentalist practice
of organizational and strategic routines. Likewise, the Teecian perspective accepts this DC - type 2,
the renewal phenomenon and the new DC formation. Moreover, these follow a convergent path, as
Teece (2010) acknowledges the Type 2 category of DCs of newly formed discovery-based DCs
emerging from sensing and seizing new opportunities and threats. The DC type 2 seems to gather a
dual etymology, a Teecian discovery-based, while the EM´s approach a reformulation-based. DC type
2 is a category that directs both conceptualizations to a convergent path. Our underlying assumption
is that the TPS-EM approaches duality, arise as a result of symmetrical understanding of the process
of reconfiguration of organizational capacities, which is itself a DC and leads to DC formation. Thus,
it is adopted an ambidextra acceptance of the phenomenon explained in both theoretical
underpinnings (Figure 2).
Nevertheless, a seminal difference is accounted for. While the TPS focusses on competences and
dynamism, the EM sub-stream of the DCV is centered on routinization. Though, Wohlgemuth and
Wenzel (2016) argue that both perspectives support routinization; however at different tiers: highly
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routinized processes and reduced routinized processes. They claim that the EM assume routines as
stable entities, which are susceptible to higher-level of routinization to reconfigure the lower-level
capabilities (non-DCs).
2.2.2.4. Deploying and hierarchizing Dynamic Capabilities
The DC deployment is seen as a stochastic nature process for reconfiguration and renewal over time
(Teece, Pisano and Shuen, 1997), and accumulation of capabilities (Diericks and Cool, 1989). For
comprehending the nature of dynamic capabilities and its boundaries, several authors explored the
differentiation of dynamic and non-dynamic capabilities, and categorization of DCs, proposing that
the typification of routines and process (Cepeda and Vera, 2007), which accordingly, to Teece, Pisano
and Shuen´s (1997) definition, are devised as structural components included in the notion of core
competences and lastly comprise the resource ownership as sets of tangible and intangible assets.
Collis (1994) distinguishes (DC and non-DC) organizational capabilities according to their purposes,
as first and second category capabilities. The first category (non-DCs) are the abilities related to the
execution of basic functional activities (e.g. plant layout, distribution logistics, and marketing
campaigns), while the second category it refers to the dynamic improvement of the activities. Thus,
the first category (non-DCs) maintain the operationality of the firm´s activities and the organizational
functionality, while the second category concerns the leveraging of dynamic changes on business
development and management systems. In this sense, Zollo and Winter (2002) and Winter (2003)
considered non-DCs the firm´s operational capabilities (zero order capabilities) geared towards
operational functioning, including staff and line activities, and the DCs (first order activities) are
those pursuing the modification and improvement of operational capabilities (OpC). The later, were
also dually (and similarly) distinguished as ordinary capabilities and dynamic capabilities (Teece,
2014). The empirical study of Cepeda and Vera (2007) on 107 firms on IT and communications
industry models separates the (non-DC) operational capabilities construct in five categories:
regulatory, functional, cultural, positional and (knowledge-based) value creation capabilities and
demonstrate a positive relationship between OpC-DC, evidencing a mediating effect (direct and
partial) on DC formation and deployment, which is described as an evolution cycle (Zollo and Winter,
2002) of the pursuit of greater rents, whereby firms change their operational routines and upgrade
existing DCs, through a four phases sequence of generative variation, internal selection, replication
and retention. Similarly, Pavlou and El Sawy (2004) argue that deployment of dynamic capabilities
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lead to the configuration of new functional competences, thereby, expanding the understanding of the
scope and directionality of the relationships between OpC-DC, in accordance with Kogut and Zander
(1992) who describe the changes in resources applicability, as a reconfiguration of the firm´s
combinative capabilities. Further research on DC hierarchies comprising their formation and
development reveal that the set of combinative capabilities may change, since a DC may evolve
and/or be reformed by a new one. Ambrosini, Bowman and Collier (2009), suggest that the
environment dynamism triggers the change capability, as the function of managerial perceptions of
the need to change. The authors argue that changes in DCs vary from minor (incremental) to major
(regenerative capabilities). Therefore, the authors propose the decomposition of the evolutionary
process of a dynamic capability into two (motion-intensity) hierarchical levels, incremental and
renewal, and introduce a third category, the regenerative. With incremental dynamic capabilities, the
pace of change is slow and the adjustment of resources or improvements are limited. The renewal of
dynamic capabilities “are utilized to sustain a stream in changing environments; they refresh and
renew the nature of the resource stock, rather than incrementally adapt it” (Ambrosini, Bowman and
Collier, 2009:14). These regenerative dynamic capabilities are required when the DCs are insufficient
(even through transformation into renewing dynamic capabilities) and are likely to be deployed by
firms perceiving a turbulent environment and where external changes are non-linear and
discontinuous. This reasoning is implicitly based on the assumption that, the higher the change (scope
and velocity), the larger the future architectural difference will be in the same dynamic capability.
Thus, the authors argue that, an existing DC may evolve, or be exchanged. DCs are leveraged by
external factors related to environment dynamism pressing to emergent change, while reconfiguring
and/or recombining the resource base (Simon and Hitt, 2003). The reformulation of set of dynamic
capabilities is externally dependent on market dynamism and, internally grounded in internal factors,
as (the level of) change capability (Ambrosini, Bowman and Collier, 2009) and learning capability
(Teece, Pisano and Shuen, 1997; Eisenhardt and Martin, 2000; Zollo and Winter, 2002). The learning
mechanisms simultaneously comprise the passive experience accumulation and the deliberate
cognitive processes of apprenticeship – knowledge articulation and codification, which are driven
towards the reshaping of operational routines and the evolution of OC and DC, and are perceived as
being second-order dynamic capabilities (Zollo and Winter, 2002). Thereafter, learning capabilities
are subdivided into two categories, market-focused dynamic capabilities and internally-focused
dynamic capabilities (Weerawardena et al., 2007:300). The first is characterized by the acquisition
and dissemination of market information, and the second is characterized by the acquisition and
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dissemination of technological and non-technological information produced within the firm. In
parallel, the study of Zahra, Sapienza and Davidsson (2006) underpins that the organizational learning
mechanisms are firm-specifically adjusted according to their intellectual foci and organizational type
(new venturing or established corporation), while arguing that organizations have different
requirements for capabilities.
The amalgamation of capabilities categorized in DC and non-DC, or OpC, seem to be further
accompanied by the hybrid notion of substantive capabilities introduced by Zahra, Sapienza and
Davidsson (2006:921), as “the ability to solve a problem”, although they do not clarify whether its
because of its morphology, rather than its operational functions are those fitting the category of an
OC, or rather a subset of dynamic capabilities. Furthermore, this typification requires further
comprehension of how substantive capabilities adjust the high-order dynamic capabilities, as the
latest are perceived as “the ability to change the way the firm solves its problems”. Problem-solving
is a capability which may be addressed in an experiential/practical mode of operational functioning,
as well as, as a cognitive process of knowledge articulation and codification at the DC level.
The hierarchization of DC, which is implicitly assumed in the literature as being a collective
capability at the firm-level, is perceived also at the individual capability level as being largely
unexplored (Eggers and Kaplan, 2013). Although Helfat and Peteraf (2015), based on the previous
study of Adner and Helfat (2003) recognize the managerial cognitive capabilities of individuals with
managerial-positions as an emerging topic in the literature on the microfoundations of DCs, pointing
to DCs as being built, integrated and reconfigured. Those capabilities, either at the individual and/or
collective-level, fit the four key-dynamic capabilities (reconfiguration, leveraging, integration and
learning) of Ambrosini, Bowman and Collier (2007), acting to change a current dynamic capability,
or a mix of DCs (combinative capabilities) as a change capability. The authors approach is noteworthy
towards the leveraging capability, adding the underlying idea that a DC may have features such as,
mobility and transferability at intra-firm level, between a Strategic Business Unit (SBU), although
without explaining the directionality phenomena (single, bidirectional, multi-directional) and
explaining whether the SBU concept comprises the headquarters (HQ), or if the DC suffers a partial
or total mutability towards the destiny SBU, in the transference process (SBU1-SBU2 +…n;
SBU1/HQ). In tandem with the DC development issue, we will later address the topic of firm-level
mobility and intra-transferability. Mort and Weerawardena (2006) and Weerawardena et al. (2007),
in a converging path with the internationalization and international competition literature, refer to the
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existence of intra-individual/intra-collective capabilities (networking capabilities) interacting with
marketing capabilities and a learning capabilities (the last are sub-categorized into market-focused
learning capabilities and internally-focused learning capabilities) in a clear approach to the concept
of global dynamic capabilities (GDC) through the study of born global (BG) organizations, as a subset
of DCs. Although, it is critical to distinguish network capabilities (NC) and global dynamic
capabilities (GDC) because their intervention in the strategic management field is quite distant. Both
possess three essential ingredients: the capacity possession, deployment and the upgrading of features
in their DNA (Luo, 2001). Although the NCs drive goes towards “the discovery of opportunities, to
the testing of ideas, and to the garnering of resources for the formation of the new organizational
structures” (Aldrich and Zimmer, 1986; in Weerawardena, and Mort, 2006) while the GDCs focus on
the creation and preservation of resources with VRIN/VRIO features that are, difficult to imitate,
promoting a firm´s competitive advantage, for replication in a global basis in response to high-
competitive markets (Griffith and Harvey, 2001). In a complementary approach to the NC concept,
Wang and Ahmed´s (2007) research asserts that a firm capitalizes on market opportunities according
to its possession (level) of two other DCs - the adaptive capability and the absorptive capability. The
first is defined as the ability to identify and capitalize on emerging market opportunities, and the
second, relates to the ability to evaluate, and utilize outside knowledge, and recognize the value of
the identified opportunity. These capabilities are corroborated by the definition of entrepreneurial
capabilities of Arthurs and Busenitz (2006) who consider the identification of a new opportunity, and
the subsequent investment in the enlargement of its resource base. Adaptive and absorptive
capabilities are critical for international networking, and business development at
multinational/global operations are needed as enhancers of competences, according to Teece et al.´s
(1997) definition, permitting, respectively, the acquisition of direct market knowledge from the
competing environment, and as network-players who demonstrate the ability to learn through their
partners. The sphere of organizational capabilities also incorporates managerial capabilities (Helfat
and Peteraf, 2015), R&D capabilities (Rothaermel and Hess, 2007), and innovation capabilities
(Lawson and Samson, 2001).Those last two, underpin the key-role of cognition in the analysis of
microfoundations of DC and are deployed in a triparty way - sensing, seizing and reconfiguring the
DC components (Teece, 2007: 1319). These capabilities recall the importance of individual-level
“managerial cognitive capabilities” as “the capacity of individual managers to perform mental
activities” (Helfat and Peteraf, 2015: 832) at top-management, impacting on the enterprise level of
sensing, seizing and reconfiguration capabilities, as an explaining variable of firm´s performance and
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strategic change, and summarizing the impact of cognitive capabilities (e.g. reasoning, language,
communication, and problem-solving) in asset orchestration. Agglomerating the DC typologies,
Collis (1994: 148) argues that a firm may develop a superior capability (not a first or second-order
capability; DC-Non-DC) that is “the capability to develop the capability to develop the capability”,
which enters a third category of meta-capability, where a DC acquires flexibility, a higher-velocity
of development and mutability, becomes faster than competitors, is able to respond efficiently to
radical and rapid change circumstances, The author states that the meta-physical strategic insights of
those capabilities rely on the capacity to recognize the “intrinsic value of other resources or to develop
novel strategies” (Collis, 1994:145). This phenomenon reveals the importance of the interaction of
capabilities, first and second-order (Daneels, 2002), operational and dynamic (Zollo and Winter,
2002; Winter, 2003), named also as substantive and dynamic (Zahra, Sapienza and Davidsson, 2006),
for deploying the current set of combinative capabilities (Ambrosini, Bowman and Collier, 2007),
typified on individual and group capabilities, cognitive and managerial (Teece, 2007; Helfat and
Peteraf, 2015).
As entered the theorization of DC (features, commonalities and deployment), and as we attempt to
prevent the misleading reasoning and underlying assumption of a positive correlation between DC
ownership/exploitation, and a firm´s success, the key-paradox of the contradiction pointed out by
other scholars should be emphasized (Quin and Cameron, 1988). Capabilities may enhance, but
simultaneously, inhibit a firm´s development. The Leonard-Barton´s (1992) empirical research
pinpoints a correlation of capabilities possession (core-capabilities) and development practices,
grounded in a knowledge system of four pillars: skills, technical systems, managerial systems and
normative systems. Similar underpinning is followed by Mitchell (1989) who argues argues that
industry-specific competences may lead to capabilities development. Contradictorily, Lieberman and
Montgormer (1988) argue that institutional capabilities may lead to incumbent inertia in the face of
environmental changes. Recent empirical research analyses the mediating effect of DC in a firm´s
performance in technology-based companies (Wu, 2007) and the direct effect of DCs on firm
performance and competitive advantage (and indirect effect through resource reconfiguration) (Helfat
and Peteraf, 2007, 2009) the latter focused on the development of metrics (technical fitness and cost
capability) to corroborate their reasoning, which was further applied by Hess and Rothaermel (2008).
Recalling Teece´s (2007) role of cognition structures in DC deployment, and considering the path
dependencies notion of Teece, Pisano and Shuen (1997:522), we may argue that despite the lack of
general agreement of the interrelationship between the capabilities articulation and performance and
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market competitiveness (although some industry-level studies confirm a positive interdependence
pattern), it can be recognized that a firm´s historical path shapes its the managerial behaviour and
governance (disregarding the polarity of casuistic change: positive or negative), including, marketing
activities of value identification and developing attractiveness flows.
2.2.2.5 Global Dynamic Capabilities (GDCs)
In the previous section the microfoundations of organizational capabilities were reviewed, along with
the underpinnings of various scholars in this field. The deployment of commonalities and DCs were
typified, categorized, and this hierarchizing revealed a Darwinian evolutionary cycle from the
creation until reformation, crossing development and mutability. Gathering a plethora of theoretical
and empirical studies we exposed dynamic capabilities such as, knowledge creation (Verona and
Ravasi, 2003; Nielsen, 2006); knowledge recombination and knowledge usage (Nielsen, 2006),
product development; strategic decision-making; alliance management; patching (Eisenhardt and
Martin, 2000); organizational learning (Collins, 1994; Teece, Pisano and Shen, 1997; Buckley and
Carter, 2002; Cepeda and Vera, 2007; Weewardena et al., 2007) and the usage of improvisation and
creativity (Cepeda and Vera, 2007; Zahra, Sapienza and Davidsson, 2006). Other DCs were exposed
such as, the coordination (of inter-organizational-relationships) (Griffith and Harvey, 2001) and
exercise of power (in global relationships) (Oliver and Holzinger, 2008; Griffith and Harvey, 2001);
absorptive capacity (Wang and Ahmed, 2007; Zahra and George, 2002); innovation (Wang and
Ahmed, 2007; Verona and Ravasi, 2003; Lawson and Samson, 2001); IT processes and net-
enablement (Wheeler, 2002); entrepreneurial capability (Arthurs and Busenitz, 2006; Weewardena et
al., 2007; Teece, 2016); networking capability and marketing capability (Weewardena et al., 2007);
adaptive, (Wang and Ahmed, 2007) and R&D capability (Rothaermel and Hess, 2007).
Prior research also postulates the pivotal role of DCs in the creation of new ventures (Newbert, 2005),
discovering and exploiting opportunities (Hamel and Prahalad, 1994; Miller, 1983; Sathe, 2003;
Davidsson, 2004) and facilitating successful entry and survival in international markets (Sapienza et
al., 2006, in Zahra, Sapienza and Davidsson, 2006). Similarly with entrepreneurial capabilities (Dess
et al. 2003) for which further studies posit the virtues of DC in the competition of foreign markets,
such as creativity, R&D, and innovation capabilities. Zahra and George (2002: 262) argue that “firms
that internationalize their operations in innovative and creative ways stand to achieve significant gains
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that go beyond superior financial performance”. Similarly, it is acknowledged that dynamic
capabilities can be duplicated (Eisenhardt and Martin, 2000) and may evolve (Ambrosini, Bowman
and Collier, 2009), to become mobilized and transferred (Wang and Ahmed, 2007; Madhok and
Osegowitsch, 2000; Luo, 2001) within MNEs at a global scale (Weerawardena et al. (2007), adapting
to environments characteristics (Griffith and Harvey, 2001) and mutating their characteristics (Wang
and Ahmed, 2007) while transferring or adjusting the destiny market. Global DCs, are distinguished
from general DCs; firstly, due to the diffusion process occurring at a wider geographical range,
interplaying the organizational form and geographical flows as two key-aspects of the phenomena in
various business environments (Madhok and Osegowitsch, 2000), and secondly, due to foreign entry
barriers (Bain, 1956) and mobility barriers (Caves and Porter, 1977) that counter-play against the
inner transferability traits. As a first-order capabilities, GDCs are foreseen as a set of abilities of the
multinational enterprise (MNE) “…to create, deploy, and upgrade organizationally embedded and
return-generating resources in pursuit of sustained competitive advantages in the global
marketplace” (Luo, 2001:355), and as “the creation of difficult-to-imitate combination of inter-
organizational relationships on a global basis that can provide a firm competitive advantage”
(Griffith and Harvey, 2001:598). GDCs virtues comprehend the flexibility to transform and facilitate
customization at each individual market, and the capacity to adapt, integrate and reconfigure internal
and external (market-based) assets, while the assets provide the power basis for global competitive
advantage (Griffith and Harvey, 2001). However, the critical role of individual-level capabilities
should not be overlooked among a myriad of DCs, including the global ones, namely, the cognitive
and managerial capabilities, as top-management plays a decisive role in a firm´s future direction,
exercising the responsibility of taking internal strategic decisions on capability building (Eisenhardt
and Zbaracki, 1992; Carpenter et al., 2001). Although the process of strategic decision-making is
itself a dynamic capability (Eisenhardt and Martin, 2001), due to the waving effects of the output, as
organizational routines and/or resources are transformed it into new future inputs (Makadok, 2001;
Zack, 1999). Global dynamic capabilities are embedded in transnational exchange processes,
grounded in network insidership, which in turn, enhance the firm´s power in its global relationships,
enabling it to coordinate inter-organizational activities and respond rapidly, and flexibly to global
competitors (Grifith and Harvey, 2001; Eisenhardt and Martin, 2000; Teece et al., 1997).
Consecutively, GDCs are perceived as network power generators, providing the basis for developing
strategies for a global competitive advantage. A deviating approach was followed by Lawson and
Samson´s (2001) model. Instead of considering GDCs as any general DC (although with the ability
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to operate at a transnational geographical range), the authors, postulate GDCs as a combinative
capability (a set of DCs) with seven components: vision and strategy; a harnessing of the competence
base; organizational intelligence; creativity and ideas management; organizational structure and
systems; culture and climate, and technology management. Nevertheless, three of the components of
Lawson and Samson´s model were previously identified by other scholars as being explicitly
identified as dynamic capabilities with transnational geographical scope: managerial systems (Helfat
and Peteraf, 2015), creativity (Cepeda and Vera, 2007; Zahra, Sapienza and Davidsson, 2006) and
technology management (Wheeler, 2002). Therefore GDCs may be categorized, not merely as first-
order, but second-order (Meta) capabilities (Collis, 1994), recalling that a second-order capability is
a generator chain (a capability developing other capabilities, consequently leveraging third
capabilities) (e.g. international networking; above refereed as global relationships), that consequently
promotes new ones - e.g. organizational learning (Collins, 1994; Teece, Pisano and Shen, 1997;
Buckley and Carter, 2002; Cepeda and Vera, 2007; Weewardena et al., 2007), knowledge
recombination (Nielsen, 2006), patching (Eisenhardt and Martin, 2000), and/or of improvisation and
creativity (Cepeda and Vera, 2007; Zahra, Sapienza and Davidsson, 2006). These second-order and
third-order DCs, with regard to the GDCs, are identified in Figure 29 as dynamic internationalization
capabilities (DICs) related to the internationalization process (Tallman and Fladmore-Lindqvist,
2002; Pranger and Verdier, 2011).
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Figure 15 - Second-Order and Third-Order DC of Internationalization
Source: Prange and Verdier (2011)
The DICs presented by Prange and Verdier (2011) are not representative of the whole panoply of
GDCs, as these are merely centered on the marketing capabilities type regarding the
internationalization process (Weewardena et al., 2007). Thus, the classification of second-order
GDCs as threshold capabilities and consolidation capabilities (on the international exploitation
process) and value-added capabilities and disruption capabilities (on the international exploration
process), plus its recombination as third order capabilities (of international ambidexterity), is merely
circumscribed to the clarification of the phenomena of growth and survival in overseas markets,
neglecting the interface of the firm with strategy. Moreover, the strategic fitness process (SFP) to the
external environment (Beer and Eisenstat, 2004; Beer (2013). Teece (2016:203) refers to the
international ambidexterity phenomenon as “encompassed within a larger framework known as
dynamic capabilities that emphasizes the flexibility and adaptability of the organizations and their
efforts to act strategically, embrace new opportunities, and even shape the business environment.”
In this sense, we argue that the international ambidexterity (third-order capability) does not represent
all of the GDCs and/or GDC properties and does not illuminate the GDC construct in latum sensum.
Therefore, this research adopts (as an epistemological assumption) the GDC concept of Luo (2001)
as indicated above.
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2.2.2.6. Evolvement of the U-model towards the DCV
With reference to the internationalization theory, the empirical research of the Uppsala University
(associated with Swedish corporations at foreign markets) had a primary design built upon four key-
variables - status and change variables - recomending a model that contains a basic mechanism for
internationalization (Hornell, Vahlne and Wiedersheim-Paul, 1972; Hornell, Vahlne, and
Wiedersheim-Paul, 1973; Johanson and Wiedersheim-Paul, 1974; Johanson and Wiedersheim-Paul,
1975; Johanson and Vahlne, 1977), which is grounded in a capacity-based strategy (Sapienza et al.,
2006). Its connection with the RBT is exhibited below in figures 16 and 17.
Figure 16 - Uppsala School in the RBV: The evolvement from a MBV (marketing-based view) to a DCV (dynamic-capability view)
Source: Own elaboration
Here is shown that the original U-model adopts a focus on standing, centered in the acquisition of an
asset (market knowledge) that is consistent in the literature with the MBV within the RBV (Srivastava
et al., 1998; Griffith and Harvey, 2001). At this stage, the model is uniquely centered in external
environment capabilities (Collins, 1994; Teece, Pisano and Shen, 1997; Buckley and Carter, 2002;
Cepeda and Vera, 2007; Weewardena et al., 2007). As this model evolved, it became regarded as the
requirement for exploiting outer capabilities, and, in a complementary way, the identification and
exploration of a firm´s own capabilities; therefore strengthening and updating the set of combinative
capabilities. The descending models have the virtue of complementing the previous ones acquiring
from those capabilities that then became incorporated in the later theorization (Figure 17).
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Figure 17 – Uppsala School: A capability-centric approach
Source: Own elaboration
As the descending models aggregate previous capabilities from either the U-Model and others DMs,
first, an evolving positioning towards the capabilities within the firms to succeed in the
internationalization can be demonstrated, and finally, a constructivistic approach towards the
capabilities can be observed, which, in addition, as a shift between a MBV to a DCV, as portrayed in
Figure 18.
Figure 18 – Capability-constructivism towards the DCV
Theorization
RBT
Position
Focus Organizational Capabilities (OCs)
U-Model MBV Market-
orientation
(external
environment)
marketing capabilities (Weewardena et al., 2007);
knowledge creation (Verona and Ravasi, 2003; Nielsen,
2006); knowledge recombination, knowledge usage
(Nielsen, 2006)
Descending
Models(DMs)
The Business
Internationalization
Process Model
MBV Market-
orientation
(external
environment)
(OCs from the U-Model, and the following ones):
learning capacity (Ambrosini, Bowman and Collier,
2007; Collins, 1994; Teece, Pisano and Shen, 1997;
Buckley and Carter, 2002; Cepeda and Vera, 2007;
Weewardena et al., 2007); absorptive capacity (Wang and
Ahmed, 2007; Zahra and George, 2002); networking
capability (Weewardena et al., 2007); alliance
management (Eisenhardt and Martin, 2000); adaptive
capability (Wang and Ahmed, 2007)
The Entrepreneurial
Process Model
MBV Market-
orientation
(OCs from U-Model, from the previous DMs, and the
following ones): entrepreneurial capability (Arthurs and
Busenitz, 2006; Weewardena et al., 2007); improvisation
2nd order
Meta dynamic
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(external
environment)
(Cepeda and Vera, 2007; Zahra, Sapienza and
Davidsson, 2006); patching (Eisenhardt and Martin,
2000)
The Globalization
Process Model
MBV /
DCV
Market-
orientation
(external
environment)
/ Firm-
specific
(internal
environment)
(OCs from U-Model, from the previous DMs, and the
following ones): leveraging (Ambrosini, Bowman and
Collier, 2007); patching (Eisenhardt and Martin, 2000);
reconfiguration, leveraging, integration and learning
(Ambrosini, Bowman and Collier, 2007)
The Uppsala model
adjusted to the
HQ - Subsidiary issue
DCV Firm-specific
(internal
environment)
(OCs from U-Model, from the previous DMs, and the
following ones): coordination (of inter-organizational-
relationships) (Griffith and Harvey, 2001); managerial
capabilities (Helfat and Peteraf, 2015); strategic
decision-making (Eisenhardt and Martin, 2000)
The MBE Evolution
Model
DCV Firm-specific
(internal
environment)
(OCs from U-Model, from the previous DMs, and the
following ones): exercise of power (in global
relationships) (Oliver and Holzinger, 2008; Griffith and
Harvey, 2001); reconfiguration, (Ambrosini, Bowman
and Collier, 2007); innovation capabilities (Lawson and
Samson, 2001; Wang and Ahmed, 2007; Verona and
Ravasi, 2003; Lawson and Samson, 2001); IT processes
and net-enablement (Wheeler, 2002)
product development (Eisenhardt and Martin, 2000)
R&D capabilities (Rothaermel and Hess, 2007)
Source: Own elaboration
In fact, the Uppsala of the internationalization process of a firm (hereafter typified as U-Model) is a
theoretical framework of reference most frequently cited in literature within the field of strategy
research, internationalization and foreign venturing (Forsgren, Holm and Johanson, 2015; Langhoff,
1997; Oviatt and McDougall, 1994; Andersen, 1993), and is deeply rooted in the RBV. In the original
model, the main issues of knowledge (possession) is viewed as an asset, and markets are viewed as
webs of relationships and organizational power. Thus, the original U-model may be argued as a
capability-based internationalization model.
The starting point for developing a research design towards the U-Model was the intellectual
acknowledgment of the limited knowledge of host countries´ environments, requiring experiential
knowledge of their business and social contexts (Carlson, 1966). Thus, the U-Model´s outset, as a
behavioral-based gradualist process model founded on marketing knowledge, relates a firm to
business ecosystem, interplaying three factors: knowledge development, uncertainty perception and
commitment (Forsgren, Holm and Johanson, 2015). It should be mentioned that the U-Model shares
with the DCV a similar root on resource-based theory, building up the model on experiential
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knowledge, a Penrosian concept with roots in the RBV. The knowledge ownership is regarded as a
core-asset placed in the centre of the model, as is attested by the DCV as an organizational resource
(Kogut and Zander, 1992), while the application of the resource, is comprehended as a dynamic
capability, such as knowledge creation (Verona and Ravasi, 2003; Nielsen, 2006), knowledge
recombination and knowledge usage (Nielsen, 2006). The initial design gathered some criticism due
to its gradualist view. One incremental and design dependent on market learning is identified as being
deterministic and path dependent (Weerawardena et al., 2007), lacking on the ability to respond
entirely to the challenges of globalization and the accelerating technological development, while
neglecting the existence of path-breaking strategies and the accelerated internationalization
phenomena (Sullivan and Bauerschmidt, 1990; Melin, 1992; Anderson, 1993; Oviatt and McDougall,
1999; Madsen and Servais, 1997; Zahra et al., 2000; Moen and Servais, 2002). Yet, an evolvement
of the Uppsala´s reasoning can be observed because it adjusts to market dynamism and a firm´s new
competition modes. The U-model reveals a paradigm shift from a heuristic to a humanistic-view,
which is reflected in descending models, as follows: the model of industrial markets (Johanson and
Mattson, 1988), the business network model (Johanson and Vahlne, 2009), the entrepreneurial
process model (Schweizer et al., 2010), the globalization process model (Vahlne et al., 2011), the
Uppsala adjusted model for HQ management of subsidiaries (Vahlne et al., 2012), the model for
multinational business enterprise (MBE) evolution (Vahlne et al., 2013), which The U-model
(evolvement), thereby, preconizing a wider understanding of business complexity, acquiring a global
mindset (Harvest, Kedia and Davis, 2000) which encompasses explicitly the rapid changing,
hypercompetitive and high-velocity environments and dynamic capabilities view (Teece and Pisano,
1994). Examining the model under the scrutiny of the DCV approach, firstly, a design strategy, can
be shown, respectively, related to the pursuit of its goals of (foreign) market entry and/or expansion.
This model relies on an organizational management system which is capability-based with a central
market-pulled asset (knowledge) claimed as the core competence in international competition in the
focal market, that is triggered by dynamic capabilities described in DC literature as knowledge
creation (Verona and Ravasi, 2003; Nielsen, 2006), knowledge usage and knowledge recombination
(Nielsen, 2006), according to their applicability in a formation stage or changing stage (of
regeneration or reformation). Although the possession of the previous capability, highlights others,
intrinsically valued in the 1977 model, the marketing capability and the learning capacity (Collins,
1994; Teece, Pisano and Shen, 1997; Buckley and Carter, 2002; Cepeda and Vera, 2007; Weewardena
et al., 2007). The latter is deeply empowered by the authors as a market-focused learning capability
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while simultaneously underestimating its internally-focused counterpart (Weerawardena et al., 2007).
In parallel, underlying the original U-model is the absorptive capacity of the firm (Wang and Ahmed,
2007; Zahra and George, 2002) to decode market intelligence, disseminating it through the firm to
formulate adaptive activities through the practice of a third DC, the adaptive capability (Wang and
Ahmed, 2007). Descending theorizations extend the necessity of DCs with the business network
model (Johanson and Vahlne, 2009) integrating the networking capability (Weewardena et al., 2007),
the entrepreneurial process model (Schweizer et al., 2010) to incorporate the entrepreneurial
capability (Arthurs and Busenitz, 2006; Weewardena et al., 2007) as well as accepting the alternative
forms of competition, as international new ventures (INVs) and born global (BG) firms. In addition,
the latter defends that firms should hold an entrepreneurial alertness mindset for serendipity, thereby,
revealing a tacit advocacy of the innovation capability (Wang and Ahmed, 2007; Verona and Ravasi,
2003; Lawson and Samson, 2001) and the R&D capability (Rothaermel and Hess, 2007). It may be
argued that the networking capability implicitly covers the alliance management capability
(Eisenhardt and Martin, 2000). The globalization process model (Vahlne et al., 2011), and the
Uppsala adjusted model for headquarters (HQ) management of subsidiaries (S) (Vahlne et al., 2012),
reveal an underlying coordination capability (Griffith and Harvey, 2001) applied to HQ-S global
relationships and the exercise of the power capability (Oliver and Holzinger, 2008; Griffith and
Harvey, 2001) within the internal network (of the global corporation) or external network (of
affiliated agents) regarding network membership relationships, social exchange processes, common
exploration and exploitation of opportunities, and shared resources. In those DCs the globalization
process model´s multidimensional existence in various business ecosystems with a transnational
geographical range is implicitly perceived as a global dynamic (Grifith and Harvey, 2001). In
addition, the empirical research of King and Tucci (2002), exhibits a positive correlation between
capability ownership and top-management decision-making processes towards foreign investment in
a market entry phase. Another feature of the Uppsala model is the tacit observance of both, individual
cognitive and managerial capabilities which is coincident with the stimuli of the behavioral theory of
Cyert and March´s research (1963) and also, DC deployment through the reconfiguration of the
current set of combinative capabilities. The model for multinational business enterprise (MBE)
evolution of Vahlne et al. (2013) unveils vis-à-vis another DC, the absorptive capacity (Cohen and
Levinthal, 1990) and gave room to o the theory of organizational path dependence - as a first-order
capability (Teece et al., 1997) while addressing the issue of the apprenticeship of the firm, associated
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with the practice of (combined) capabilities, such as entrepreneurship, marketing and learning
capabilities.
As distinctive streams of the firm´s strategy research thar are derived from the organizational
capabilities and international competitiveness fields, the DCV and the U-model share an etymological
path to the RBV, and a similar interdisciplinary nature. The research seems to demonstrate that these
bodies of theory share common practicalities, such as geographical range, the characteristic of the
ecosystems (agents, relationships, dynamism, positioning and competition), and both seem to be
dependent on the cognitive reasoning of the behavioral-based decisions of top-management.
Although in the U-model GDCs nature and commonalities remain unexplored, as well as the
formulation/regeneration of their combinative capabilities (Ambrosini, Bowman and Collier, 2007).
Thus, we believe the U-model acknowledges the value of DCV development for comprehending
corporate strategies in global markets, especially in high competition and low stability markets, that
exploit the individual benefits of GDCs in the U-model, which account for singular GDC benefits,
but with no particular interest in observing the combinative capabilities as a phenomenon establishing
a general picture of DCs and intra-DCs interdependencies and relationships. Thus, the U-model may
be described as neglecting the hierarchization of dynamic capabilities (first and second-order),
disregarding meta-capabilities, and their Darwinian evolutionary process, changing features from
HQ-S, and intra-subsidiaries, and overlooking the mobility, transferability and mutability process of
DCs as a single DC and as a component of a combinative capability or set of capabilities.
2.3. Summary of literature review
As the IPPF phenomenon is at the epicenter of this research, we have initiated this thesis to expose
the figures of internationalization in the transactional and investment mod, by looking at the official
datasets of the country outward flows of international trade and FDI. In this sense, we have explored
longitudinal primary data related to the GDP, net outflow of exports (and its relative weight on the
previous), investment per markets and respective quotas, and overall data variations. The initial data
which are disclosed opened horizons for the perception of seminal facts. Portuguese companies seem
in general to be oriented towards host markets of high geographical proximity, or with which they
maintain an historical and cultural bond. The initial readings done in the field of internationalization
theory allowed us to identify the latter phenomenon as a construct known as psychic distance which
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was widely studied by the University of Uppsala in a theoretical archetype named the Uppsala model
(U-model). In addition, the archetype also considers the behavioral pattern of internationalization
through geographical proximity, claiming that both share a similar root namely, the determination of
these firms to avoid risk and uncertainty in the business environment, which is postulated as a
gradualistic approach of incremental international commitment dependent on the understanding of
the marketplaces through the possession of market knowledge. To this end, the literature review
explored the original U-model and all its descending models until the MBE evolution model (Vahlne
and Johanson, 2013) and its evolvement towards the global fim conceptualization (Vahlne and
Johanson, 2017).
While depicting the internationalization theory centered on the evolving path of the U-model the
central role of knowledge (at the state and change variables) in the decision-making of market
commitment overseas was shown. Our initial literature search on knowledge captured numerous
articles postulating the adherence to the dynamic capabilities view of the firm. Thus, this construct
triggered the continuity of the literature research focused on the winding curve of the capabilities, the
capabilities microfoundations, identifying dynamic capabilities (DCs) at previous empirical studies
and comprehending their application in the international business ecosystems, and most specifically
illuminating the patterns of the IPPF.
The literature review section proceeded to unpack the intricacies of the U-model and the DCT and,
subsequently, their seminal and interrelated taxonomies. The cross-observation of these two bodies
of theory from the distinctive theoretical fields (internationalization theory and resource-based
theory) led us to the gathering of a bundle of theoretical concepts and frameworks, and to a critical
reflection upon its thresholds, intersection points and to the extrapolation of some to the empirical
part of the study. The literature review extracts some of its primary conceptualizations from each
component (U-model and DCs) and the ones portrayed simultaneously at the U-model and DC
theories, as addressed at the the subsection 2.2.2.6. Evolvement of the U-model towards the DCV.
In this context, this literature review on the U-model and on the resources and capabilities view has
leveraged the comprehension of the IPPF which was triggered by the initial problematization, and
then materialized (see chapter three methodology) in the identification of the research objectives and
the research design. Moreover, it allowed the researcher to sift through the conceptualizations,
filtering the further pursued ones and the abandoned ones during the empirical part of this study.
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3. METHODOLOGY
This chapter encompasses the development of the empirical pathways of our research. Here, we
further consider the initial problematization presented in chapter one, as well as the theoretical
description of internationalization and resource-based theory. Moreover, these two aspects are
focused specifically on the U-model since the problematization has identified traits ancestrally
assigned to this model, which cumulatively places attention on the DCs. Both the U-model and the
RBT are primary dimensions under (hermeneutical) analysis concerning the IPPF patterns, as
discussed in chapters three and four.
In this methodology, the whole concepts addressed in chapters one and two are scrutinized to
determine their prominence concerning how the IPPF can be understood, since a concepts is “an
approach to the process of the research encompassing a body of elements which will determine the
research paradigm. Thus, is a “framework that guides how research should be conducted, based on
people´s philosophies and their assumptions about the world and the nature of knowledge (Collis and
Hussey, 2014:10).
The conceptualizations addressed in this thesis have been selected through a sifting process where
some have been discarded, and others have been reused and tested. However, this selection process
has preserved the hermeneutical interdisciplinarity of those concepts and their underlying connection
to the theoretical frameworks, and the concepts excluded from testing, will be in the future still
referred to.
Analogously, the methodological chapter makes use of the representative models of these concepts
and their taxonomic application, such as the U-Model and (the Teecian approach to) the DC
phenomenon (TPS), which, as mentioned above, are two of the three dimensions analyzed in this
study. The third dimension is the OP (Other paradigms) and comprises the remaining phenomena that
have been identified and fit in other archetypal formulations.
This chapter contains eight sections, commencing with a general overview and then honing in on
specificities. Firstly, the statement of the research objectives and their roots (subsection 3.1. Aims of
the Research, and 3.2. Rationale of the Investigation, respectively) is presented. Second, these
objectives are related to the philosophical foundations of science (in subsection 3.3. Philosophy of
Science). Thirdly, the research design (3.4. Research design – Strategy and methods) is described,
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which encompasses the description of the research questions (RQ) and their underlying propositions
(Pr) in response to the previous aims statement. Then, after unveiling the paradigmatic approach,
specific aspects of the research design are explored, as business case research (3.5. Case study
research), along with the issues of data collection and data exploration, to address the methods,
sources, assumptions, typologies, and bias of the data (3.6. Data Collection). The ethics in research
theme then follows (in 3.7. Research Ethics) to explain the adherence to the code, style, and format.
Furthermore, the applied referencing system will be identified, and exhibits the human participation
and the subsequent agreement documents signed with all (see appendices 9 to 15). This chapter also
addresses the linguistic issues of retroversion (Portuguese-English) and the subsequent proof-reading
work by English native speaking academics required to eliminate issues of miscomprehension and
bias in this research thar are due to culturally distinctive interpretations, directly connected to
language differences. The chapter ends with subsection 3.8. Data Analysis Rationale, which depicts
the mechanisms for treating data; namely the data structuring framework of Miles and Huberman
(1994), and the instruments for data codification - the Gioia framework (2009) and Weber protocol
(1990). The collective outcome of the methodology is presented in chapter 4 where the data outputs
and displaying formats are demonstrated after a previous manipulation of data.
3.1. Aims of the Research
For the purpose of our research, a general aim (referred bellow as Aim1 or A1) is related to the
general understanding of the Portuguese firms´ internationalization process and their behavior in an
international competition context, which can be summarized as follows:
Aim 1 (A1): To comprehend the Portuguese firms´ internationalization patterns within
the observed industry
The other aims (specific aims), consider the amalgamated of combining features composing the A1
that are associated with the part played by the (psychic) distance factors and the set of combinative
capabilities (possessed and allocated to the foreign markets). These other aims can be further
described as follows:
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Aim 2 (A2): To observe the compliance with a psychic distance phenomenon
Aim 3 (A3): To perceive (the occurrence of) a capability-based internationalization
strategy
Aim 4 (A4): To identify the first order organizational capabilities of the firms´ under
analysis – their dynamic capabilities (DCs) – in the domestic markets
Aim 5 (A5): To analyze the international transferability of DCs/global dynamic
capabilities (GDCs) from the domestic to foreign markets (where the firms operate)
Aim 6 (A6): to comprehend the mutability/reconfiguration process of a GDC (from
the point of origin (PoO) to the point of destiny (PoD))
These aims (A1-A6) were formulated according to the background description, problem statement
and the theoretical approach to the problematization. Their delimitations are therefore rooted in the
researcher´s assumption that these are both feasible and suitable to conduct the investigation into
the IPPFs.
3.2. Rationale of the investigation
The current research on the theme of the IPPF is triggered by an initial problematization regarding
the perceived patterns of internationalization of the Portuguese economy both, at transactional and
investment mode described at subsection 1.2. Background and Problem Statement. This phenomenon
is revealed in two ways. Firstly, the corroborating secondary data evidences emphasizes the
evidences, which is based on the official data-sets of national and international organizations.
Secondly, the secondary data and primary data collected from the partaking firms research.is
manipulated.
The research paradigm unveiled in the chapter is supported by the qualitative evidence gathering on
the human behavior in the field (Belcher, 2009), and its primary design is dependent upon the
description of its ontological and philosophical foundations, which are intrinsically related to the
contribution of this investigation (as presented in the Relevance, Singularity and Research Gap
section).
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The development of our methodologic process critically relied upon an investigation into the
philosophical assumptions and underlying typologies of the various views that social scientists hold,
which is presented in subsection 3.3. Philosophy of Science.
3.3. Philosophy of Science
The research design is rooted in the philosophical framework that guides how the research should be
conducted (Collis and Hussey, 2014), encompassing the two main approaches – positivism and
interpretivism (Figure 19).
Figure 19 – Continuum of paradigms
Positivism Interpretivism
Source: Collis and Hussey, 2014
These two main outlooks are identified as being two opposing points on a continuum (Figure 19
above) because they represent the philosophical polarities of thinking in the philosophy of science,
although there are various paradigms in between them. Before addressing a wide-ranging view of
paradigms, it is first relevant to clarify that our research adopts a broad sense approach to the paradigm
construct (Kuhn, 1970) comprising the three paradigmatic levels (Morgan, 1979).
Table 3 –Overview of paradigmatic levels
Level Description
Philosophical Beliefs about the reality
Social Guidelines to the researchers’ endeavors on how to conduct his research
Technical Application of methods and techniques.
Source: Morgan, 1979
Prior to the presentation of the research design, the philosophical assumptions grounding the two
main paradigms are depicted due to their influence on the outcome of the research. The set of
(organizational and/or individual) assumptions (Bryman and Bell, 2011; Gioia, Corley and Hamilton,
2013) comprise the following categories (of assumptions).
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Table 4 - Classification of philosophical assumptions
Categories Description
Ontological Concerned with nature of the reality
Epistemological Related with the acceptance of validity
Axiological Regarding the researcher´s values
Rhetorical Concerned with the language of the research
Continuum of paradigms The distribution of the typology of thinking
along the two main paradigms
Source: Collis and Hussey, 2014
Table 4 - Classification of philosophical assumptions illustrates the categories (of assumptions) that
influence the discernment of the researcher. The first (ontological assumption) concerns the category
of assumptions built upon the nature of the phenomenon under analysis, while the epistemological
ones relate to the self-interpretation of the nature of the analyzed object. The axiological assumptions
are the ones dependent on the cultural background of the researcher and his perception of the
phenomena under study according to the system of values that orients his behaviour. The rhetorical
assumptions is related with the use of language. The researcher argues peremptorily the avoidance of
subjective writing comprised in the use of polysemic language to not distort the sources´ original
designs. Moreover, the manipulation of primary data interprets language as a sign system where the
participants deliver content (signified) which is codified according to existing seminal literature
(signified), as explained in section 3.8.1. Data Structuring. The last category of assumptions are
related to the perception of the distribution of the philosophical paradigmatic perspectives along the
continuum of paradigms as shown in Figure 19 - Continuum of Paradigms - Perspectives and
Assumptions. Here, the positivistic and interpretativistic paradigms are applicable to the theory of
science by intermediate perspectives and models of thinking (Hirschman, 1986; Guba, 1990; Burrel
and Morgan, 1994; Arbnor and Bjerke, 1997; Morgan and Smirchich, 1980).
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Figure 20 – Continuum of Paradigms - Perspectives and Assumptions
Positivism Interpretivism
(Arbnor and
Bjerke, 1997)
Objective
perspective
Mechanical
perspective
Biological
perspective
Self-
organizing
perspective
Value-added
perspective
Social linguistic perspective
Ontological
assumption
Objective Objective Objective Objective Objective Subjective
Epistemological
assumption
Objective objective Objective Objective Subjective Subjective
Research
methods
Objective Objective Objective /
Subjective
Subjective Subjective Subjective
Analytical thinking
System thinking
Actor Thinking
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Sources: Morgan and Smircich (1980); Hirschman (1986); Guba, 1990; Burrel and Morgan (1994); Arbnor and Bjerke (1997)
(Bøgetoft
Christensen, 1997)
Positivism Neopositivism Hermeneutic Phenomenology
(Burrel and
Morgan, 1994)
Functionalism Radical
structuralism
Radical
humanism
Interpreting
sociology
(Guba, 1990) Positivism Neopositivism Critical theory Constructivism
(Hirschman, 1986) Positivism
(realism/objectivism)
Humanism
(relativism /subjectivism)
(Morgan and
Smircich, 1980)
Ontological
assumption
Reality as a
concrete
structure
Reality as a
concrete
process
Reality as a
contextual
field of
information
Reality as a
realm of
symbolic
discourse
Reality as a social
construction
Reality as a projection of human
imagination
Epistemological
assumption
To construct
a positivist
science
To
construct
systems,
process,
change
To map
contexts
To
understand
patterns of
symbolic
discourse
To understand how
social reality is
created
To obtain phenomenological
insight revelation
Research
methods
Experiments,
surveys
Historical
analysis
Interpretive
contextual
analysis
Symbolic
analysis
Hermeneutics Exploration of pure subjectivity
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Figure 20 illustrates how the scholars grasp different understandings of the polarity of the continuum
of paradigms, as two main approaches are advocated in literature. The first, a stricter outlook of the
interpretivism construct, is considered to be a pole of sociological analysis of reality and its
constructivism (Guba, 1990; Hirschman, 1986). Conversely, Morgan and Smircich (1980) and
Arbnor and Bjerke (1994) have a wider comprehension of interpretivism. In the latter perspective,
the hermeneutics fit the value-added perspective (and a systematic thinking mode), while pure
interpretivism is reserved for phenomenological events purely on human imagination, which matches
the actor thinking rationale. However, a hybrid and third option blends these previous ones, pulling
to pure interpretative pole to the hermeneutical approach, while still considering this subset of
phenomenology as extreme (Bøgetoft Christensen, 1997; Burrel and Morgan, 1994). The next
subsection presents an overview of the ontology and epistemology.
3.3.1. Ontology and Epistemology
The current study is rooted in a set of organizational and individual assumptions and their inherent
views about the wo types of paradigmatic assumptions: ontological and epistemological. The
axiological and rhetorical are considered subtypes of the epistemological because of both, individual
values and how language is used, are intrinsically related to this broader category (i.e. the
epistemological assumption), which comprises the general perception of reality (including the
individual values). Thus, the first category of assumptions, ontological, is related to how the business
world is organized and implies the acceptance of its social construction, as well as, the belief that the
participants (Pn) in the study are knowledgeable agents who are committed to describing their
thoughts, intentions and actions according to their experiences and interpretations of the world. The
second category of assumptions is the self-awareness of the researcher as a knowledgeable individual
with the ability to perceive patterns in the collected data, enabling concepts to surface and
relationships that may be formulated within theoretically relevant terms (Gioia, Corley and Hamilton,
2013). The axiological assumption is thoroughly addressed in the research ethics subsection. Herein,
it is important to note that the rhetorical assumption is necessary to show that the researcher is aware
of the importance of the avoidance of polysemic and idiomatic language that may bias or falsify the
results (Hill and Hill, 2012) and cumulatively the technicalities of the Saussurean semiology (Shank,
1995).
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The three (sub) categories of the aforementioned assumptions are intrinsically connected, so the
acceptance of one within a particular paradigm influences the others as they are complementary
(Collis and Hussey, 2014). Therefore, the combination of these ontological and the epistemological
considerations are the research settings orienting this investigation towards the paradigm delimitation,
one that considers the construct (paradigm) as a cluster of beliefs that orients scientists in a particular
discipline towards what should be studied, how their research should be conducted, and how their
results should be interpreted (Kuhn, 1979; in Bryman and Bell, 2011). Our research approach is
exhibited in the Table 5.
Table 5 - Paradigm delimitation
Dimensions Research Paradigm
Continuum´s polarity Interpretivism/Constructivism
Paradigmatic stand Neo-positivism
Paradigmatic rationale System thinking
Paradigmatic outlook Value-added perspective
Philosophical assumptions Ontological: Social constructionism;
and naturalistic approach to the phenomenon
Epistemological: Participants are knowledgeable agents, committed to the
explanation of reality (according to their experience and interpretation);
researcher self-awareness as a knowledgeable individual; data-mining should
not be the meaning system of the research
Axiological: Basis of one´s own set of values and beliefs
Rhetorical: Endeavor to attain an unbiased study, through the avoidance of
polysemic and idiomatic language
Ontology of the phenomena Objective: international markets of the firms
Subjective: rationale for market commitment in those markets
Research methods Subjective / hermeneutics
Observation Objective; naturalistic; interactionism
Primary evidence(s) Qualitative data
Researcher´s agents Insider-researchers (firm´s participants); Outsider-researcher
Approach to theory
development
Deductive
Source: Own elaboration
Yet, if the current research paradigm fits the quadrant of an interpretative paradigm (Burrell and
Morgan, 1979), the ontology proclaimed above is objective (i.e. as international markets where the
Portuguese firms under analysis are objectively observable). However, the rationale for entering these
markets is therefore not acknowledged as being subjective. Thus, it may be claimed that the nature
of this research is also subjective, which is in alignment with the Weber´s notion of Verstehen based
on hermeneutical-phenomenological philosophical tradition and symbolic interactionism where the
subjective reality is relativistic, and dependent on the researcher´s inductive reasoning for its social
constructivism (Stokes, 2014) and researcher-participants may create or alter the symbolic order in
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social interactions (Silverman, 1993). Taking this one step further, an alternative perspective can be
constructed by blending the two aforementioned approaches that posits social constructivism as an
intersubjective social construction of the world that is based on the shared meaning-making of the
researcher and the participants (Warner and Karner, 2005).
The interpretivist stance is the epistemological foundation of this study, one which observes the world
through an objective position to interpret social phenomena by examining how people´s thoughts and
actions subjectively construct reality (Descombe, 2014). This approach builds on the straightforward
assumption of social constructivism in which human understanding of information and events, is
dependent upon grasping the nature of these phenomena through the establishment of a meaning
system (Gioia and Chittipeddi, 1991; Miles, Huberman and Saldaña, 2014). Therefore, it may be
argued as naturalistic (Saunders, Lewis and Thornhill, 2015) since the researcher operates within the
natural setting of the observed reality to obtain thorough access to meanings and in-depth
understanding of it through a close interaction with the study‘s participants.
Regarding the categorization of the typology of researchers in the investigation, a dual-researcher
approach is employed (Glaser and Strauss, 1967) as it combines the insider-researcher stance
(providing a bona fide insight of the partaking firms) with the objective analysis of the outsider-
researcher (Evered and Louis, 1981; cited in Gioia and Chittipeddi, 1991). The insider-researcher is
based on collaboration with key participants from the partaking firms, and the outsider-researcher
role is comprised by the PhD candidate and his supervisory committee because the research design
requires a dual-researcher approach for collecting informant-centric and researcher-centric content
(Eisenhardt and Graebner, 2007), as thoroughly justified in the subsection 3.8.1. Coding System.
The interpretivist paradigm that was followed was guided by a deductive approach to theory
development using empirical observation where particular instances were deduced from general
inferences about the actual causal relations among the variables under investigation (Collis and
Hussey, 2014; Denscombe, 2014).
3.3.2. Approach to theory development
This section acknowledges the researchers´ objectives and rationale (in sections 3.1. and 3.2.), which
are further contextualized in the philosophical foundations of the theory of science (see section 3.3),
fitting the interpretative paradigm quadrant (Burrell and Morgan, 1979) of subjectivity ontology and
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interpretivist epistemology. This research paradigm aims to create an accurate model for observing
reality to best orientate the researcher towards attaining the goals of this study. In parallel, with this
aim, this research paradigm may constitute a logical model of proof at the researcher´s disposal to
draw inferences about the reality related with causal relations between variables under investigation
(Frankfort-Nachmias and Nachmias, 1996).
First, the classification of our research is comprise of four parameters, according to the basis of
classification and type of research (Table 6)
Table 6 - Classification of main types of research
Basis of classification Type of research
Logic of the research Deductive or inductive
Process of the research Quantitative or qualitative
Outcome of the research Applied or basic research
Purpose of the research Exploratory, descriptive, analytical or predictive
Source: Collis and Hussey (2014)
This section further describes the logic of the research, since it was adopted a deductive stance for
this study (addressed summarily at the end of subsection 3.4.2. Ontology and Epistemology). Here, is
illustrated further how our rationale relates to the process and purpose of the research (identified in
the section 3.2. Aims of the Research). The outcome is an applied-research approach that applies its
findings to solve an existing problem (presented in section 1.2. Background and Problem Statement)
and to support the partaking firms with the adjustment of their governance policies and management
practices under investigation (Collis and Hussey, 2014).
Our investigation is co-substantiated by a mono-method research approach that adopts a qualitative
process. This qualitative research is defined as an interpretative, naturalistic and subjective approach
that addresses questions about social reality in order to understand its origins and meanings, and
characterized by being descriptive and focused on social constructivism (Denzin and Lincoln, 1994;
Gephart, 2004).
Our qualitative research follows a combinative design of an exploratory study, a descriptive study,
and an analytical/evaluative study because these combined studies are recommended for a qualitative
mono-method choice for a deep comprehension of the phenomenon under study (Frankfort-Nachmias
and Nachmias 1996; Collis and Hussey, 2014; Saunders, Lewis, and Thornhill, 2015).
This combinative design takes advantage of the three complementary purposes of the research. First
the exploratory purpose that is conducted towards the research problem, and in a context where there
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are few studies in the field. Thus, the aim here is to look into patterns and to develop an understanding
of the observed phenomena, rather than merely test a hypothesis. The second, is the descriptive
purpose that characterizes our specific propositions under analysis, exploring the first purpose.
Finally, the analytical purpose uncovers and measures casual relationships among all three (Collis
and Hussey, 2014).
Our preference for this research strategy is to fashion a combinative design that is a mono-method
qualitative and intrinsically connected to our research aims (A1-A6) - with the aspiration to answer
our research questions since our research strategy is a plan of action to achieve specific goals
(Denscombe, 2014). Moreover, our choice of strategy is interconnected with the initial
problematization that is grounded in the philosophical foundations of our study, which includes the
combined methods employed. Furthermore, we considered how the research design critically
influences the typology of our data collection and the quality of logical testing (Yin, 2009). Thus, the
options for our research strategies for the chosen methodology, the in-depth case-study research,
identifies the phenomena observed to obtain a thorough understanding of the real conditions being
studied (Saunders, Lewis, and Thornhill, 2015).
The five mandatory components of a research design were not neglected in this study, which
identifies: the research questions (RQ); the propositions (P); the units of analysis (UA), the
explanation of the logic linking the data to these propositions; and the criteria for interpreting the
findings, which will be described in later sections of this thesis (Yin, 2003).
3.4. Research design – Strategy and Methods
The five components of our research design (Yin, 2003) are presented as follows: the research
questions (RQ) are identified in subsection 3.4.1, the propositions (P) in subsection 3.4.2., the units
of analysis (UA) in the subsection 3.5.5.3, the explanatory logic linking the data to the propositions
presented in the subsection 3.6. Data collection; and the criteria for interpreting the findings, which
are addressed, cumulatively, in the subsections 3.7. Research Ethics and 3.8. Data Analysis.
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3.4.1. Research Questions (RQs)
The questions bellow present an explicit statement about what is to be investigated, with their
formulation being intrinsically linked to the subsection 3.1. Aims of the Research.
RQ1: What is the internationalization paradigm of Portuguese companies in the
manufacturing industry?
RQ2: Are the firms under analysis compliant with a psychic distance phenomenon?
RQ3: Do the firms under analysis follow a capability-based international strategy?
RQ4: What are the 1st-order organizational capabilities (OC)/DCs of the firm under analysis
in the domestic market?
RQ5: Which DCs were transferred, from the domestic market, to the foreign markets (where
the firm operates) (GDCs)?
RQ6: Which mutability(ies)/reconfiguration processes suffer a GDC (from the point of origin
- PoO - to the point of destiny - PoD)?
3.4.2. Propositions (Pr)
Below are a list of study´s propositions, which were created in order to test these reasoned statements
under investigation (RQs). These RQs were created to facilitate our capacity to analyze the outcomes
of our research goals, and furthermore to, orientate the conclusions of the QDA results and findings,
with our primary research aims.
Proposition 1 (Pr1): The firm under analysis follows a pure gradualistic
internationalization archetype comprised in the original U-model
Proposition 2 (Pr2): Psych distance factors constrain the internationalization strategy of
the firm
Proposition 3 (Pr3): The firm follows a capability-based internationalization strategy
Proposition 4 (Pr4): The firm develops ordinary capabilities (OrC) and/or dynamic
capabilities (DCs) in their domestic market
Proposition 5a (Pr5a): DCs are transferred to foreign markets where the firm operates
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Proposition 5b (Pr5b): GDCs assume heterogeneous directionality patterns of
integration
Proposition 6 (Pr6): A GDC suffers mutability/reconfiguration (from PoO to PoD)
These elements of the research design above (signified as RQ and Pr) are exhibited in Figure 21,
subsection 4.2.2. Empirical model – IPPF testing and represented in a diagrammatic network,
according to the methodological framework of Miles and Huberman (1984) within the data displays
phase.
Figure 21 - Research Paradigm of the IPPF
Source: Own elaboration
(A1 – Internationalization patterns; A2 – Psych distance (PD); A3 - Capability-based strategy; A4 – Dynamic Capabilities (DCs); A5 –
Global dynamic capabilities (GDCs) – transferability; A6 – GDCs – mutabilities)
Here, the relationships between aims, research questions (RQ) and propositions (Pr) are demonstrated
in terms of their interrelations within the research paradigm. What can be noted is that A1 is addressed
by RQ1, and tested by Pr1, A2 is addressed by RQ2 and tested by Pr2 and so forth. An exception
exhists in A5, which is addressed by RQ5; however, this RQ is tested by Pr5a and by Pr5b. The A2
fits the U-model theorization while the A3-A6 relates to the DCV. The A1 comprises the U-model
and the DCV and gives room for further developing a theoretical framework, as some phenomena of
the IPPF observed in A1 might not fit entirely within aforementioned U-model and DC dimensions.
Therefore, this research exposes three dimensions of analysis: a dimensions containing constructs
Pr5b
Pr5a
Pr1
Pr2
Pr3
Pr4
Pr6
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related with the U-model, a second dimensions related with the dynamic capabilities, and a third
dimension of analysis that is releated to encompassing the observed phenomena without complying
to the previous dimensions. These three dimensions of analysis are below refered to as UM (U-
model), DC (dynamic capabilities) and OP (other paradigms).
The Pr5a focuses on the concept of the DC transferability (DC-T) – potencial or effective - to perform
geographical mobility actions from a domestic market to other external markets. The Pr5b is related
with the typology of transferability´s directionality (Td), while Pr6 on DC mutability (DCM). Thus,
the concept of DC-T may be represented by the following algebraic expressions:
DC-T = (DC(PoO) . m) (8)
Where PoO and PoD represent the point-of-origin and point-of-destiny and m represents the changes
in place (p) and time (t) variables.
m = ∑ (p . t) (9)
The Td concept considers the transferability options between headquarters (HQ) and Subsidiaries (S)
regarding directionality (d): d1 = HQ→S; d2 = S→HQ; and d3 = S1 →S(2, 3, 4, …) representing the
single directionality from a PoD (either HQ or S) to a PoD (either (HQ or S). Thus, a case-studied
firm with one subsidiary only (s==1) has only maximum two directionality options (max-d=2; d1 =
HQ→S; d2 = S→HQ) while a firm with two or more subsidiaries (s>1) may have three directionality
options (max-d =3; d1 = HQ→S; d2 = S→HQ; and d3 = S1 →S(2, 3, 4, …)).
So we may argue that if s > 1 => d 3; and s==1 => d 2)
In this context we introduce the concept of capability maximum transferability (CMT) and individual
capability maximum transferability (ICMT) represented by the following expressions:
The variable n represents the number of DCs at the PoO.
The Pr6 focusses on the mutability of capabilities (DC-M) and therefore assumes the pre-existence
of DCs at the PoO and recognizes the Teecian perspective on capability development. Here, we
ICMT(DCi) = (DC(PoO) . (m . d); CMT(∑DC) = n(DC(PoO) . (m . d) (9)
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advocate that companies reconfigure their DCs partially - simple reconfiguration (r) - or total
reconfiguration - renewal (re) as intrinsic characteristics of mutability. In parallel, we consider that
the mutability process may incorporate opportunity development (o) as addressed in the TPS
perspective which recognizes the existence of DCs that we´ve identified as type 1 and type2 relatd
with r and o. The DC-M is represented in the following algebraic expression:
(10)
Where, ∆ DC(PoD) and DC(PoD) are represented as follows:
(11)
(12)
Alternatively, the DC-M may be represented as follows:
(12)
Regarding the DC-M, the capability maximum mutability (CMM) concept addresses the potential
optimization of change regarding the firm´s ability to flexibilize their DCs within their bundle of
combinative capabilities up to a maximum potential ability of total reconfiguration (renewal) as
demonstrated below:
(13)
3.5. Case Study Research
The case method has a heuristic etymology, a self-guided learning that employs analysis to support
the researcher to draw conclusions (Ellet, 2007). Thus, this methodology adjusts to the aims of the
research (and consecutively to the research problem), and the research design. Thus, the research
DC-M = DC (PoO) + ∆ (DC(PoD))
∆ DC(PoD) = DC (PoD) -
DC(PoO))
DC(PoD) = DC (PoO) . (r . o)
DC-M = DC (PoO) + (DC(PoD) (r . o) – DC (PoO) )
CMM(∑DC ) = n. ((DC (PoO) + (DC(PoD) (r . o) – DC (PoO) ) )
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strategy fits the qualitative process, the deductive logic and the combinative research design
(explorative, descriptive, and analytical).
This case study research focuses on “understanding the dynamics present within single settings”
(Eisenhardt, 1989:534), and is posited as being a research strategy that entails the detailed and
intensive analysis of one case, or more for comparative purposes (Bryman and Bell, 2011).
Furthermore, we argue that this study can be best described “an inquiry that investigates a
contemporary phenomenon within its real life context, especially when the boundaries between
phenomenon and context are not clearly evident” (Yin, 2003:13).
The relevance of this approach is related to the capacity to bridge the richness of qualitative data to
mainstream deductive research (Eisenhardt and Graebner, 2007), using retrospective and real-time
cases (Leonard-Barton, 1990) in a theoretical sampling, either of single or multiple cases.
Thus, the methodological choice for this research strategy is related to its capacity to fit an
interpretivist philosophical assertion, while allowing the development of an in-depth inquiry to a
reflexive comprehension of the reality “to identify what is happening and why, and perhaps to
understand the effects of the situation and implication for action” (Saunders, Lewis and Thornhill,
2015:185).
The research potential is recognized within single-case designs for exploring unusual revelatory,
rareness, or extreme circumstances (Yin, 1994). However, in the current investigation a multiple-case
design is applied. “The choice is based less on the uniqueness of a given case, and more on the
contribution to the theory development within the set of cases” (Eisenhardt and Graebner, 2007:27),
and because it enables a comparison of cases, the detection either of an idiosyncrasy (in a single-case)
or consistency (replication) among several cases. Furthermore, the capacity of the multiple-case
design is acknowledged to deliver a more robust theory, as it is supported in a larger body of empirical
evidence that enables the determination of further accurate definitions and appropriate levels of
construct abstraction. This multiple-case design also facilitates a broader exploration of research
questions and theoretical elaboration, and therefore, significantly affcets the quality of the emergent
theory (Eisenhardt, 1991).
While conducting multiple-testing we embraced a theoretical replication logic (Eisenhardt, 1989b) to
address the research problem through the observation of the instances where the sampled firms (cases)
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are similarly analyzed through an embedded approach of multiple units of analysis (within each firm),
categorized as a Type 4 according to Yin´s (2009) basic types of designs for case studies.
A comparative design was applied to the multiple cases (Bryman and Bell, 2011) to the manufacturing
industry, which used identical methods on the contrasting cases through an idiographic approach
where the cases were selected to provide an in-depth comprehension of the observed reality and a
representation of the population of the industry in the Portuguese business ecosystem.This case study
also falls into the “evaluation” typology of case research, as described by Ellet (2007), where the
evaluations “express a judgment about the worth, value or effectiveness of a performance, act, or
outcome.” (Ellet, 2007: 23).
The selection of the case-studies follows a typical instance (Denscombe, 2014) as the set of firms are
homogeneously, and cumulatively, characterized by foreign investment internationalization, private
equity ownership, headquarters settlement in Portugal (main land) and business competition in the
manufacturing industry. Moreover, the selected firms, fit into the “evaluations” category of a case-
study because the “unit of analysis of an evaluation can be an individual, a group, a department, an
entire organization, a country or a global region.” (Ellet, 2007: 23) Hence, this perspective should
be advocated for because the accuracy of the information of the analytic generalizations of this
investigation are dependent upon the extension of this study to other economic activities.
Four (4) firms participated in this investigation (as identified in the sub-section 3.5.2. Sampling) in
which primary data was collected regarding their internationalization paradigms. At the same time,
secondary data was also gathered from each entity, and cross-analyzed with the official data provided
by AICEP concerning the outward flows of investment from the Portuguese economy.
Following an embedded approach, the four methodological contexts each are comprised of more than
an hermeneutic unit of analysis. The research object of in these units of analysis is analogous, which
is the vis-à-vis interview of an executive officer in headquarters (HQ) of the organization in order to
allow the researcher to achieve the point of saturation (Glaser and Strauss, 1967; Strauss and Corbin,
1998; Mason, 2010; Myers, 2013) regarding the phenomena under analysis. The (primary) data
collection followed non-probabilistic sampling methods, the purposive and snowball techniques,
making use of an exploratory sample to gather our data (Miles, Huberman and Saldaña, 2014;
Denscombe, 2014), as argued in the subsection 3.5.2.1. Sampling approach, method and technique.
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It should be clarified that the obtained sample fits within the non-probabilistic sampling category.
Herein, the sampling typology adopted is both, purposive and snowball. The first, the purposive
sampling due to the adequacy of this typology to exploratory studies, and considering that this study
intends to emerge into a exploratory and analytical reflection of the cases selected within the sample
frame, in order to describe their paradigm of internationalization. However, the sample also fits the
snowball technique as the selection of the cases and the formation of the sample were obtained
through an escalated process that began with the selection of the first firm, which then led to the
selection of the subsequent firm and so on and so forth.
The next figure summarizes the content of the case study research of the IPPF, through the description
of its design, method, cases, and data collection.
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Figure 22 - Case research of the IPPF
Source: Own elaboration
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3.5.1. Research population
The observed universe or population, as the body collection of items under consideration (Collis and
Hussey, 2014), is categorized according to the Statistics of Portugal (2007) in the standard industrial
classification (SIC - revision 3) within the section C as affiliated to the manufacturing industries,
which represents the population or universe of units under analysis (Bryman and Bell, 2011). The
rationale for the focus on this typology of economic activity is the historical influence of the
Portuguese industrial production activity on the aggregate of exports and outwards foreign
investment.
Figure 23 – Intra-EU industrial production comparison
Source: OECD (2017)
The industrial production refers to the output of industrial establishments and covers sectors such as
mining, manufacturing and public utilities (OECD, 2017). The industrial segment currently accounts
for 13,91% of the entirety of external activities in 2016 (within the second most significant category
of FDI - Industry, Construction, Energy and Water) and contributed 22,40% according to the report
Principais Indicadores Económicos (Main Economic Indicators) of AICEP (2017). Moreover,
industrial production accounted for 26,08% of the total active population employed in the year 2016
(Table 7) (INE, n.d.).
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Table 7 - Active population per Economic activity (2016)
Source: INE (n.d.)
The sector under study, has its locus of attention on the manufacturing activities within the industrial
production segment due to its historical contribution to the national GDP (Figure 24).
Figure 24 - Manufacturing industries evolution (1962-2016)
Source: World Bank (n.d.)
As it can be clearly illustrated here, manufacturing industries encountered a continued, steady
increase since 1962 that was only interrupted by the economic crisis in 2008 (illustrated by the blue
slope of the graph above). Therefore, this evolution constitutes a matured economic sector for testing
the IPPF, containing long-lasting established firms such as the partaking firms that constitute our
sample and are consequently noteworthy of our attention for the purpose of this investigation.
Likewise, the analysis of subsets of economic activities in Figure 25, which cross-reference the
outflow of the supply per product categories with the international demand, some heterogeneity
within the world market share (WMS) fluctuations can be shown, with a noteworthy feature, the
remarkable fact that the partaking firms in this study fit within the category of products of increased
international demand for national supply.
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Figure 25 – Exports (2016) –WMS per category
Source: ITC (n.d.)
(Yellow bubble – loss of WMS; blue bubble – increased WMS; value size proportional to export value)
Therefore, the population as the “universe of units from which a sample is to be selected” (Bryman
and Bell, 2011:726) requires that the composition of our sample must be made up of the “segment of
the population that is selected to be studied” (Bryman and Bell, 2011:728). Within the manufacturing
industry its scope focusses on the sector of metallurgy and metal-mechanic which comprises three
main categories of segments: (i) basic metallurgies, metallic and electrical products and transportation
equipments. (BdP, 2017). In the year 2016, the sector grew 0,2% totalizing an annual turnover of
14.596 million euros and being the largest exporter of the domestic products (AIMMAP, n.d.). The
sector encompasses 9,7 thousand companies, which in its majority are are micro and small companies
(72%) and accounts for 2% of the universe of the organizational ecology of the country. In the year
2015, with a gross revenue of 14,53 million euros the sector represented already 7% of the all turnover
generated in the secondary sector employing 6% of the total active population in the country and
weighted one forth of the aggregate of the manufacturing industries. The variation of the number of
companies remains almost unaffected (grew by 0,1%) and since the difference between the birth and
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death rates continued below 1%, which is in line with all the manufacturing industries. The sector is
already the main
Data from BdP (2017) exhibits the distribution of companies, revenue and employees per segment of
economic activity (Figure 26).
Figure 26 - Structure of the sector (per segments of economic activity)
Source: BdP (2017)
(the colums represent the “Número de empresas” – number of enterprises; “Volume de negócios” – total revenue; “Número de pessoas
ao servico” – number of employeed people; the colors correspond to segments within the economic activity: the brown color relates to
“Metalurgia de base” – basic metallurgy; the blue color “Produtos metálicos e elétricos” – metallic and electrical products and the red
color “Equipamentos de transporte” – transport equipments)
The segment of metallic and electrical products representing 90,2% of the all firms in the sector
account for 53% of the turnover and 72% of the total employment in the sector. The transport
equipment segment represent 6,8% of the sector and account for 36% of the sector revenue and 23,2%
of employability (BdP, 2017).
The sector exhibits a clear positive evolution with the earnings before interest, tax, depreciations and
amortizations (EBITDA) observing a 28% rise from 2011 to 2015 with the exports representing in
total 62% with a 8% upturn from the previous report (“Análise setorial da indústria metalomecânica”
– Sectoral Analysis of the Metalomecanic Industry).
3.5.2. Sampling
The reason for constituting a sample in this research concerns the large number of firms (Collis and
Hussey, 2014) within the organizational ecology of transactional economy within the manufacturing
industry. As explained in the literature review, the collection of data from a large population offers a
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methodological trap to researchers, hindering the data collection and measurement (Provost and
Murray, 2011).
The selection of the subset of the population under the interpretivist paradigm, is circumscribed to a
sampling frame that uniquely accounts for the presence of the firms in international markets within
the industry under analysis. “A sampling frame provides a basis for selecting a sample.” (Denscombe,
2014:34). In this sense, the sample formation aimed to target firms belonging to the set of Portuguese
MNCs of the manufacturing industry competing on the sector of metallurgy and metal-mechanic, in
order to fit the sampling frame and test the phenomena illustrated in the background description of
the reality and problem statement, which revealed a generalized propensity of the firms to expand
their business operations at host-markets of higher geographical proximity and/or psychic distance.
The sample of partaking firms exhibited in the subsection 3.5.2.2. Sample – size and identification is
compliant to this criteria and comprises the segments of, metallic and electric products and transport
equipments (BdP, 2017).
We have separated the Portuguese MNCs of the secondary sector into two categories: the ones in
scope and the ones out of the scope. The criteria for filtering them is presented in the paragraph above.
Accordingly, we considered the first ones as potential entrants in the forming sample, as the all the
organizational ecology inside the sample frame. In order to proceed with the filtering of the firms we
gathered appropriate supporting data (from the “IDPE - Investimento Directo Português no
Estrangeiro – Angola; and IDPE - Investimento Directo Português no Estrangeiro – Brazil”) from
AICEP Portugal Global – Trade and Investment Agency and from the RIEP report (2014) (Ranking
de Internacionalizacao das Empresas Portuguesas or IRPC – Internationalization Ranking of the
Portuguese Companies). It should be emphasized that the IDPE datasets focused on the markets of
Brazil and Angola (as explained at the background contextualization) due to the fact that these
(markets) are ranked in the top-ten markets for business preferences of the Portuguese MNCs to invest
in and that these are the only Portuguese-speaking countries (adherent to the psychic distance
phenomenon) positioned in the ranking. Moreover, these markets demonstrate a rising capacity of
attraction for Portuguese investment. Therefore, other IDPE-related datasets of other PALOP and
CPLP countries were not included for this purpose.
The criteria for filtering the population constitutes the sample frame in which the selection of cases
will take place (Collis and Hussey, 2014), and its typology and selection is further addressed in the
subsections 3.5.2.1. Sampling´s Approach, method and techniques, and 3.5.2.2. Sample Size,
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Identification and representativeness. In the latter, the selected cases are submitted to
contextualization (Collis and Hussey, 2014) as the qualitative data (inherent to an interpretivist
methodology) is considered transient and therefore understood only within context; thus, requiring
the collection of background information (Collis and Hussey, 2014). These cases are heuristic with
conclusions drawn upon a reflective rationale (Ellet, 2007) in a social constructionism process, to
accomplish the comprehension of the phenomena (sense making) and develop a meaning system of
sense giving (Gioia, Corley and Hamilton, 2013).
Our (purposive) sample selection is based on the suitability of potential cases to illuminate and extend
the relationship and logic among constructs, without incurring the faulty aim of achieving
representativeness of the population (Eisenhardt and Graebner, 2007).
As this investigation fits Yin´s (2009) the category of Type 4 of the case study research, it adopts a
theoretical multiple-case sampling format with an embedded design, where the number of units of
analysis (UAn) is larger than the number of partaking firms (Fn). Although the number of participants
is approximately equivalent to the number of UAs.
3.5.2.1. Sampling approach, method and techniques
As the constitution of a sample involves the decision-making of the typology and volume of data to
be collected (Provost and Murray, 2011), its relatedness with the interpretative paradigm is accounted
for. Therefore, we proceed with a non-probabilistic sampling approach which comprises the use of
an exploratory sample due to its appropriateness to small-scale data collection and directionality to
the use of qualitative data (Denscombe, 2014). This research blends two sampling techniques:
snowball sampling and purposive sampling. The snowball sampling technique occurs due to the
referencing process among the partaking firms, and consequently due to the initial contact established
with companies and industrial associations (Bryman and Bell, 2011; Denscombe, 2014). The
purposive sampling “is particularly well suited for creating an exploratory sample.” (Denscombe,
2014:41), as the discretionary selection of the participants (in the units of analysis) assists the
researcher to reach the theoretical point of saturation of data (Glaser and Strauss, 1967; Strauss and
Corbin, 1998; Mason, 2010; Bryman and Bell, 2011; Myers, 2013).
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3.5.2.2. Sample – size, identification and representativeness
For clarifying the cognitive design underlying the formation of the sample, the diagram below
exhibits the critical steps of reasoning followed to accomplish this purpose.
Figure 27 – Sample identification process
Source: Own elaboration
Figure 27 above identifies the events that, were selected, and describes the sample identification
process. First, it was necessary to consider the research population thresholds. Second, the potential
avenues for the constitution of the sample were considered, and it was decided (with the supervisory
commitee) to contact the national authority for the monitoring of external trade and investment
(AICEP Portugal Global – Trade and Investment Agency) in order to obtain official statistics
(information of the main firms per economic activity and the market related figures). In parallel, were
contacted other sources such as, the national sectorial association (AIMMAP) and collected further
national and international industry-related data with other national and international organizations
such as, the WB, OECD, ITC, OEC, MIT Media Lab, Heritage Foundation, Statistics of Portugal and
BdP. In this context, national organizations provided critical country-focused industrial data, namely
BdP (sectorial data) and AICEP (host-markets data). The latter, provided detailed datasets regarding
two specific markets (Angola and Brazil), which were requested since these are categorized within
the ten larger outflow marketplaces for the Portuguese exports and investment and, simultaneously
fit within the theoretically addressed phenomenon of the psychic distance construct.
AICEP Portugal Global – Trade and Investment Agency, provided two datasets identified as IDPE –
Investimento Directo Português Estrangeiro – Lista Indicativa de Empresas Angola; IDPE –
Investimento Directo Português no Estrangeiro – Lista Indicativa de Empresas Brasil (Portuguese
Direct Investment Abroad – List of Companies Angola; Portuguese Direct Investment Abroad – List
of Companies Brazil). The companies were filtered as being either eligible or non-eligible, according
to their compatibility to the research population criteria.
Identification of the populationSelection of sources
and types of information
Request of information/datasts
Data screening (acoording to the
Research Population and Sample Frame)
Contact of firms
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Several eligible firms were contacted, and asked to participate in our research. The first entity that
triggered the formation of our sample it was the first entity that replied positively to our enquiries,
and is identified below as Firm 1 (F1). The remaining part of the sample adheres to the application
of the snowball technique (Miles, Huberman and Saldaña, 2014; Denscombe, 2014) since, each entity
was subsequently indicated by the previous one.
The segment of the population selected for the research, as a subset of the universe under analysis
approximates itself in relation to the ranging of the sample size (between 5 and 20 units of
observation) from the recommendations of Saunders, Lewis and Thornhill (2016). Furthermore, the
size of our sample adjusts to the recommendations advocated by Guest et al. (2016), who state that a
smaller-sized sample (then the aforementioned thresholds) are suitable for fairly homogenous groups,
a fact that is observed in this investigation.
The sample is composed of four (4) adherent firms (identified in Table 8), numerically ordered
(descending).
Table 8 – List of partaking firms
No. Location/Headquarters
(NUTSIII)
Foundation Social Capital NACE (Rev. 2)
F1 PT112 – Cávado Region 1997 12,5 M€ C27.32
F2 PT112 – Cávado Region 1968 30 K € C27.32
F3 ES300 – Madrid Region 1994 17,99 M€ C27.32
F4 PT112 – Cávado Region 1997 60 K € C30.99
Source: Own elaboration
(The nomenclature for territorial units for statistics (NUTS) used follows the classification of the NUTS III subregions
(Eurostat, n.d; Eurostat, 2008; NSD, n.d.; INE, 2015); K (thousands); M (Millions); Nomenclature statistique des activités
économiques dans la Communauté européenne (NACE) – Revision 2)
According to the sectoral data from BdP (2017) the partaking firms F1, F2 and F3 match the larger
segment of economic activity in the sector (metallic and electrical products). F4 fits within the
segment of transportation equipments. Thus, the sample covers the segments that account for 97% of
the total of firms in the sector. Moreover, the sample is composed of two companies matching the
category of small-enterprise (SE) (F3 and F4) and two the category of medium-enterprise (F1 and
F2).
These partaking firms (F1-F4) represent 0,04% of the organizational ecology of the sector in the three
segments, employing an aggregate of 350 people which account for 1,10% of the total active
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population (employed in the sector). Their total revenue of 134,91 million Euros gathers 0,92% of
the revenue of the sector The sample is composed of fifty percent of firms with transtionality index
included in the RIEP report of INDEG-ISCTE Executive Education and Fundação Dom Cabral
(FDC). This data corroborates the previously indicated sectorial data of the Bank of Portugal (BdP),
which is indicative of a marked concentration of the sector's turnover around medium and large
companies, in a sector that is highly pulverized by micro and small enterprises.
Ttwo hermeneutical units of analysis (UAs) are studied per firm (Fn) related to the numbers of
participants. One per each UA from the top-management and from the middle-management. The
collection of data from two participants per UA, fits within the sampling size of a Type 4 case research
(Denscombe, 2014; Yin, 2009). A distinction at F4 may be noted on the number of participants that
compose the UAs consubstantiating an embedded study, within a multiple case frame. In F4, the two
UAs are observed (the collection of data from a top-management and a middle –management source)
as in the other firms. However, in F4 the UA is centered in a single participant as thoroughly described
below. Its rationale is clear, as the data collection method aims to achieve the saturation point of data.
Thus, the F4´s Type 4 design, is explained further ahead (in subsection 4.2.1 demographic profile),
how the embeddedness of the case is maintained with one participant and, moreover, is also explained
how the point of saturation can be reached. Furthermore, it should be noted that is used a pure
sampling method approach - use of a single type of case research - which is consistent with a the
qualititative research design approach that, fits small-scale sampling, and allows for a progressive
adding of UAs until obtaining the saturation point of information.
Moreover, secondary data was gathered in Table 9 to illustrate the general internationalization
patterns (of each of the indicated firms) to the current stage for further cross-interpretation with
primary data (collected with the four UAs).
In parallel with this, further information was gathered within the partaking firms to illustrate their
commitment to the internationalization. Using the RIEP report (2014) (Ranking de
Internacionalização das Empresas Portuguesas or IRPC – Internationalization Ranking of the
Portuguese Companies) as a framework for observing the current commitment of the firm towards
internal markets, the TNI (Transnationality Index) created by the UNCTAD - United Nations
Conference on Trade and Development for the calculation of the current commitment of the F(n) to
the foreign markets, was applied. This research considers for the TNI, the financial statements of the
firms of the year 2016.
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The TNI formula applied is the following:
TNI(Fn) = (Aa/Ta) + (Ra/TR) + (Ea/TE)
P (14)
The TNI weights the Actives abroad (Aa), the Total Active (TA), the Revenue abroad (Ra), the Total
Revenue of the firm per year (TR), the number of Employees abroad (Ea) with a permanent offshore
work location, and the Total Employees (TE) of the firm, and the number of parameters (p) of analysis
being measured. For measuring the three parameters of the TNI calculation we used the data from the
last civil year of 2016, taking into account the active, the operational cash-flows and employees.
Furthermore, the maximum tolerable risk (R) profile of the U-model was applied:
R(Fn) = C . U; where C(Fn) = ((Aa/A)+(Ea/TE)); and U(Fn) = ∑(GPr + PPr)*n (15)
Thus the internationalization profile according to the risk perception profile of each firm, is
determined by the following:
The market commitment (C) is measured by articulating the four variables of the TNI formula: the
Aa, the TA, the Ea and the TE. The uncertainty (U) perception of the firm combines the risk approach
profile of the firm, accounting for all markets where the firm is positioned and combining it with both
the geographic proximity risk approach (GPr) with the psych proximity risk approach (PPr). The
results are exhibited below with respect to the risk level scale and measurement of the U-model,
corresponding to the following results: ≥ 0,66 (high-risk); ≤ .0,66 ≥ 0,33 (moderate-risk); and ≥
0,33 (low-risk).
The outcome of the secondary data related to the current TNI and risk-profiling of the partaking
firms is exhibited in the subsection 3.5.2. Secondary Data.
R(Fn) = [((Aa/A) +(Ea/TE)) + ∑(GPr + PPr)* n] (16)
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3.5.5.3. Units of Analysis
Table 9 summarizes the structuring of the units of analysis (UAs):
Table 9 –Structuring of the UAs
Firm UAs Primary technique Participants/per firm
Id UA/firm Id No. Id No. Position
F1 UA1 2 I T7 P1 2 Chief Executive Officer
F1 UA2 2 I T2 P2 2 Account Manager
F2 UA3 2 I T6 P3 2 Director
F2 UA4 2 I T1 P4 2 Account Manager
F3 UA5 2 I T3 P5 2 Chief Executive Officer
F3 UA6 2 I T4 P6 2 Account Manager
F4 UA7 1 I T5 P7 1 Director/Chief Financial Officer Source: Own elaboration
The firms (Fn) and unit of analysis (UAn) that compose the sample were identified above in the
subsection 3.5.2.2. Sample - size and identification. The technique employed (T1) is an interview,
and the data collection method is identically applied across the partaking firms through a vis-à-vis
contact with the representative of each firm that voluntareed to collaborate in this research. As the
challenge of the interviews’ data collection is to assume an approach that may limit bias (Eisenhardt
and Graebner, 2007; Eisenhardt, 1989), each participant (Pn) is acknowledged as a highly
knowledgeable individual with insightful information about the focal firm that he/she represents. No
limitations were self-imposed in regard to the inclusion of organizational actors from several
hierarchies, as the aim of our research is to obtain the saturation point of information (Glaser and
Strauss, 1967; Strauss and Corbin, 1998; Mason, 2010; Myers, 2013). In fact, the data collection
process went beyond the boundaries of the cases. The hermeneutic units above referred (UA1-UA7)
corresponded to the sources of primary data collection. However, the remaining sources are illustrated
below.
Table 10 – Sources of Data
Data Sources Cases Description
F1 F2 F3 F4
Interviews 2 2 2 1 At the strategic apex and middle management
Archival documents 4 4 4 4 Balance-sheet statement, catalogue/brochure,
internationalization markets data
Technical reports 4 4 3 3 BdP, AICEP, AIMMAP, RIEP
Source: Own elaboration
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The number of interviews at the case F4 is different due to the fact the UA occupies a double position
at the strategic apex and as a middle manager (director and chief executive officer). The item technical
reports exhibits less data for the cases F3 and F4, since the respective companies are not ranked in
the RIEP index, so the RIEP (2014) report only contains exclusively data of the cases F1 and F2. The
rest of the indicated technical reports content sectoral data. Other generalistic data was gathered at
the manufacturing industry from the WB, OECD, ITC, MIT Media Lab, Statistics of Portugal and
PorData.
The mitigation of bias in the data collection of primary data (interviews) presupposed the acceptance
of two types of ground assumptions - organizational and individual origin. The first is related to the
organizational world and implies the acceptance of its social construction, and the belief that the
participants (Pn) are knowledgeable agents who are committed to the explanation of their thoughts,
intentions and actions, according to their experiences and interpretations of the reality. The second is
then a self-awareness of the researcher as a knowledgeable individual with the ability to establish
patterns in the collected data, enabling concepts and relationships to surface that may be formulated
within theoretically relevant terms (Gioia, Corley and Hamilton, 2013).
3.5.3. Quality of the case research design
The case design was tested within a framework beyond the standard notions of validatity and
reliability. Therefore, it were utilized four measures commonly applied in social sciences (Yin, 2003).
These four measures (units of test) related to the strength of the research in terms of validity within
three categories (construct validity, internal validity and external validity) plus its reliability. Table
11 indicates the testing descriptors.
Table 11 – Summary of quality of research measures
Measures Application of Measures
Descriptors
Construct Validity - Prior signification of the operational events
- Avoidance of subjective judgments
- Use of multiple sources of evidences;
- Use a chain of evidences;
- draft of the case study reviewed by key informants
Internal validity - Identify true/spurious relationships
- Pattern-matching logic
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- Explanation-building
- Time series analysis
External validity - Analytical generalization
- Replication logic (from UA1 – UAn)
Reliability - Formal documentation of procedures
- Follow a case design protocol
Source: Own elaboration
The next subsections describe how the research addresses each of the descriptors, while exposing the
implication and characteristics of the tests, and demonstrating how these were accommodated in this
research.
3.5.3.1. Construct Validity
The first, construct validity, is addressed in a thorough and explicit manner in chapter two to avoid
the bias of subjective judgments. The Uppsala process model of internationalization (that caught the
observed phenomena in the background description of the Portuguese reality portrayed in the initial
economic data collection) depicted 40 years of this archetype´s evolutionary path and exposed (and
defined) its constructs. Moreover, our summary of the literature review emphasizes the fact that some
of these constructs are pursued in subsequent chapters while some are abandoned. Similarly, the DCV
theory, as an in-depth collection of definitions, main perspectives (TPS and EM), sub-concepts (such
as the GDCs and DICs – which the former is core for this research) was explained along with its
linkage to the empirical part of the study in chapter 3 – Methodology. In order to avoid bias, our case
research exhibits an explicit description of the philosophical assumptions under the categories of
ontological, epistemological, axiological, rhetorical and continuum of paradigms (Collis and Hussey
(2014).
In this context, the prior signification of the operational events that constitute the phenomena under
study (construct validation) was pursued in two steps: (i) the selection of the events, and (ii) the
demonstration of the adequacy of the selected measures for the phenomena under analysis.
Moreover, the recommended three tactics of construct validation were all applied to this study: (i) the
use of multiple sources of evidences; (ii) the chain of evidences; and (iii) to have a draft of the case
study reviewed by key informants.
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The first two tactics (the selection of the events and the demonstration of the adequacy of the selected
measures) are cumulatively used in both, the theoretical and in the empirical part of this study. In the
theoretical part, is applied a myriad of literary sources; moreover, the commonalities and interlinks
of constructs are followed), and in the empirical part (with an embedded multiple case design - Type
4; and following a chain of evidences in the data collection - and using semi-structured interview
method) (Yin, 2003; 2009). First, numerous conceptualizations were appraised through a plethora of
different scholars from multiple perspectives, including the criticisms around the contemporaneity of
the U-model as an internationalization framework and the DCs contribution for advantage-generation
in the context of industry competition. The third tactic, about of key informants, was ensured through
the constant link with the top apex of the partaking firms (F1-F4) to guarantee the acceptability and
suitability of the design to hermeneutic units regarding to the validations of the verified
conceptualizations; and, through the pilot testing of the interview guide, which is described in sections
3.6.1.2 Interviews – Groundwork and protocol/guide, 4.2. Primary Data and Appendix 1 – The
Manual of the Interview Guide. Moreover, it should be noted the use of triangulative approach (4.3.
Triangulation – Mapping) to the verification of frequencies of coding of the multiple sources of data.
3.5.3.2. Internal Validity
The second test deals with the generalization of the study and its explanatory purpose. In this sense,
chapters 5 and 6 aim to distinguish between the true relationships and spurious relationships. Going
back to the initial problematization at the beginning of the study, initial constructs were popped up
(as the psych distance phenomenon) and seemed intrinsically related to the IPPF, and these are then
clarified in the sections addressing the findings and results. However, internal validation requires
that the researcher follows a pattern-matching logic, an explanation-building and a time series
analysis. These three tactics are followed in this research; and are, linked to the dual rationale of
sense-making and sense-giving that is thoroughly addressed in section 3.8.2. Data mining and
codification (Gioia, Corley and Hamilton, 2013).
Pattern-matching logic is used in the QDA methodology which cross-references the information from
the informants (as a first-order coding process of data) connecting the informants words with previous
concepts that is matched to set within upper constructs and theoretical frameworks (as a second-order
coding process). The explanation-building and time series analysis are portrayed in the data treatment
methods and tools employed in the data analysis and findings chapters. A triadic strategy for handling
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the collected data was used, the content analysis framework of Miles and Huberman, (1994) with the
data codification method of Gioia (2009) and protocol of Weber (1990) for avoiding bias in data
manipulation. The first-order and second-order codification processes follow the codification system
(Appendix 2) and data outputs that are generated through a QDA process of word crunching,
frequency analysis and diagrammatic network representation of semantic linkages between constructs
(data displays).
3.5.3.3. External validity
In the external validity, the test concerns the findings of our study as its purpose is related to the
propensity of its generalization beyond the spectrum of the focal cases. A myth related to the
generalization is that this restrictive perception is merely an inference to a broad sample dimension
(and that survey methods as a more suitable approach than case studying). This refers to statistical
generalization. However case studies as experiments rely on analytical generalization (Yin, 2003) in
which the researcher strives to generalize a set of results and apply these to a broader theory. In this
sense, analytical generalization is be constructed within the interpretativistic realm of our qualitative
approach to theory development; and, therefore, our inductions are not a simplistic and automatic
generalization of datasets applied to larger samples sizes, to achieve representativeness. Furthermore,
these case studies apply a replication logic exactly like that used in natural sciences experiments,
allowing for generalizations from one experiment to the other (experiments), or from one hermeneutic
unit to another hermeneutic unit (within case studies). This research is a Type 4 case research with a
multiple case design and with embedded units of analysis, the replication logic is followed because
the theoretical principles of construct validity and internal validity were analytically generalized
among the UAs within all the firms (F1-F4). Moreover, the similarity of environmental conditions of
the collection of data were considered; such as the ethical research conditions.
3.5.3.4. Reliability
In order to ensure the reliability of the research, the underlying accuracy of the process and a wide-
ranging authenticity of our investigation, we have followed a prerequisite for attesting the reliability
of our study, which consists of formal documentation of the procedures followed, the clear exhibition
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of data and results as recommended in literature and the adoption of a case design protocol (Yin,
2003). First, the formal procedures were undertaken as follows: by obtaining the formal concession
of consent by the informants; by explaining the research project and the interview procedures to all
of the participants; and by creating the signature of agreement documents among all of the the parties
identified in the appendices. All the information from the participants were recorded and transposed
into manuscripts, translated from Portuguese to English language; and then, reviewed by a native
English-speaking proofreader. The coding of the transcripts is also demonstrated, along with the
codification dimensions and their results.
Likewise, the case design protocol is thoroughly explained and may be revisited in the Figure 21 –
Case research of the IPPF and in the table of contents in subsection 3.5. Case study research.
The methodological framework explained in the internal validity section was supplemented with the
creation of a codification system and a manual for the interview guide to ensure that formal
procedures for data collection and data mining and structuring and followed the QDA unbiasing
protocol, and that all data collection intervenients (the researcher and the participants) signed ethical
agreements (Apprendix 9 – 15). The data was reversed from PT-EN and manipulated by a CAQDA,
using the analytical procedures of the Atlas.Ti software for crunching the coding categories (words,
sentences and paragraphs), interpreting data, and generating data outputs and displays. In this context,
this investigation could be repeated as the procedures are clearly defined and the outcome ought result
in equivalent findings. In addition, it is also claimed that the reliability of our results can be achieved
due to the case study protocol that was followed during the case design, which developed in stages
(Miles and Huberman, 1994; Weber, 1990).
3.6. Data Collection
Data relates to the set of known facts or things used as a basis for inference or reckoning which
conveys evidence. Subsequently, empirical evidence is the data log based on observation or
experience (Collis and Hussey, 2014). The primary empirical sources employed in this research fit a
qualitative evidence typology, which is a category that relies extensively on sources such as
interviews, archival data, survey data, ethnographical data, and data direct observation (Belcher,
2009; Eisenhardt and Graebner, 2007).
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As qualitative-based evidences is complex, rich, holistic (Miles, Huberman and Saldana, 2014), and
subjective (Arbnor and Bjerke, 1997), the paradigm of this research is straightforward although
pending towards the polar-side of interpretivism.
We have applied a mono-method of data collection, as we are using interviews. In the next subsection
(3.6.1. Interview - Method) both the logic of qualitative inquiry and the epistemological assumptions,
of the specificities of the interview method will be explored.
3.6.1. Interview Method
A plethora of different interview types are accounted for here, as these kind of interview arrangements
commonly occur in social life and may undertake different forms: medical, selection, psychiatric,
therapeutic, journalistic/media, police, appraisal, market research and other type of research
interviews (Gillham, 2004; Warren and Karner, 2005; Bryman and Bell, 2015). The applicability of
these is guided by their purpose (Silverman, 1993), arguing that the exercise of interviewing is either,
a technique or interview as a local-accomplishment. In this thesis, we focus simply on the
instrumentalized use of the research interview as a prominent data collection strategy in both
qualitative and quantitative research. Nevertheless, the commonly shared features that different forms
of interviews possessed should be noted as follows: the extraction of information from the interviewee
and the operation of rules according to the level of formality or explicitness used while conducting
the interview (Bryman and Bell, 2015).
3.6.1.1 Research Interviews – Philosophical assumptions and Logic of inquiry
The roots of the research interview can be traced back to its development as a method to the Chicago
School (Warren and Karner, 2005). The contribution of the Chicago School resulted in an increase of
the current understanding of the distinction between qualitative interviewing, and the interview done
via a questionnaire or schedule (Platt, 2002). The development of the interviewing method illuminates
the contrast between the quantitative and qualitative logic of inquiry, associating it with the
philosophical stand of our research. Thus, the logic of inquiry is directly associated with the
epistemological assumptions of the interpretativistic methodologists, since the qualitative inquiry
identifies itself with the social constructivism and presupposes that the researcher has a close
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(experiential) social interaction with the observed people and social settings, and shall therefore be
an integral part of the conducted as part of the research design (Warren and Karner, 2005). In this
context, the researcher develops fieldwork and interviews, and the latter is ideally conducted through
a face-to-face interaction. In addition, Silverman (1993) argues that the use of interviews as a
technique for data collection in qualitative research is most adequate when using small samples and
its most suitable application is as a sole method (Warren and Karner, 2005).
The status of data collection about behaviours and attitudes is factual, about behaviors and attitudes,
for the positivistic methodologists. Conversely, for the social constructivists it is a collection of
authentic naturalistic experiences (of interactionism), which Platt (2002) refers to as the rapport and
mutual discovery of the actors giving an account of events and processes beyond the mere
identification of behaviors and phenomena, where the first adopts random samples, standardized
questions and tabulations and the latter, unstructured open-ended interviews. Thus, the role of the
interviewer and interviewee is dichotomic for both actors, objective (in positivism) and subjective (in
interactionism). The objective interviewer follows a research protocol, while the other creates an
interview context and makes use of the guidelines. The objective interviewee position is to reveal
items relevant to the research protocol, while the other is to comply with the resisting definition of
the situation (Silverman, 2001). However, a commonality between both can be demonstrated such as
the claim of reliability of standardization in the protocol (the positivistic) to ensure unbiased
measurement and the intersubjective depth of the open-ended interview (plus the elucidation the
general properties of human interaction). The logic of qualitative inquiry is then represented below
(Figure 28):
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Figure 28 – Logic of Qualitative Inquiry
Source: Warren and Karner, 2005
In the Figure 22 it can be shown that the qualitative researcher uses the observation/interviews to
extract information, which is transformed into oral reporting or written representation of the social
phenomena under study. In this research we yield written reports in the form of an interview
transcript, for further development of the analytical focus.
As previously discussed, a backward interdependence of the data collection exists with the
epistemological positioning (and the research design) of the research. However, figure 19 illustrates
that the data collection phase has a forward interconnection with the analytical research phase as it
influences the content, which represents the units of analysis for the researcher and the outcome of
the representation of the social reality being observed. In the following subsections, we explore the
characteristics of different groundwork interviews and their protocol/guidelines.
3.6.1.1. Conceptualizing the research interview
A broad contemporary definition of the term interview can be described as a common occurrence in
social life that consists of a dialogue between two parts (interviewer and interviewee) in which these
actors play different roles in an event accounting for a particular purpose that may differ in form and
style, according to its goals and ability of the participants (Gillham, 2004; Bryman and Bell, 2015).
Yet, a research interview is also a method for collecting data in which a sample of interviewees are
asked questions to find out what they think, do, or feel (Collis and Hussey, 2014), and data collection
1. Issue or setting
Observation and/or
Interviews
Data Collection (Fieldnotes Interview
Transcripts)
Review of literature (theories)
Representation
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is comprised of using the information provided by the participants to answer the research questions
(Denscombe, 2014). Likewise, Warren and Karen (2005) claim that an interview can be defined as a
special kind of conversation where the interviewer asks questions on a topic of interest to the
respondent, and of some relevance to the interviewee. The interview is further connoted as a
purposeful conversation between two or more people, requiring the interviewer to establish rapport
and ask concise and ambiguous questions that the interviewee is willing to collaborate on by listening
and responding actively, and these are most commonly conducted within a dyadic or triadic
conversation (Saunders, Lewis and Thornhill, 2016; Warren and Karen, 2005). Kvale (1983) argues
that the purpose of qualitative interview research is to gather from the interviewee descriptions of
their life-world with respect to their interpretations of the described phenomena.
3.6.1.2. Interviews - groundwork and protocol/guide
The morphology of the interview method vary according to a combined set of factors: structure,
flexibility, accessibility (to the interviewees), environment, and the size of the sample (Gillham,
2004). The structure accounts for two poles in which the conducted interview may vacillate in
between: unstructured and structured models. The flexibility of the interview relates to the category
of questions, their levels of openness and closeness, leading to different data outcomes, regarding the
achievement of the specifications, and (unexpected) serendipitious discoveries. The accessibility to
the interviewees is demonstrated by their participation and time availability. The latest two factors
and the environment settings determine the outcome of the data that will be collected. The verbal data
dimension framework of Gillham (2004) illustrates the bipolarity of the data along the continuum
structure of the interview method:
Figure 29 – Type of data – interview method
Unstructured Structured
Listen to a
dialogue
(direct
observation)
Natural
conversation
Open-
ended
interviews
Semi-
structured
interviews
Recording
schedules
Semi-structured
questionnaires
Structured
questionnaires
Source: Gillham (2004)
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The structured interview (or standardized interview) entails the administration of the interview
schedule by the interviewer, in which the interviewees are provided the same context of questioning,
and answers are aggregated for achieving reliability in identical cues (Bryman and Bell, 2015).
Questions are specific and often given a fixed range of answers. These are often categorized as closed,
close-ended, pre-coded, or fixed choice answers. The semi-structured interview complies with a
general interview schedule that consiste of a series of general questions, which may vary in sequence.
The interviewer has some latitude to ask further questions to respond to what are considered to be
significant matters within the same frame of reference. During an unstructured interview, the
interviewer possesses merely a list of covered topics or issues (the interview guide or aide-mêmoire).
The interview is conducted rather informally and the questions sequence and its formulation may
vary from interview to interview.
The qualitative inquiry, also called the intensive interview or in-depth interview is associated with
the unstructured mode or semi-structured mode, and it comprises an oral history approach where the
interviewees narrate their individual experience of historical events, where the preliminary pre-testing
of the questions to be asked is essential for the admeasurement of its validity (Silverman, 2003). The
insights expected from the interviewees are both prompts and probes. The prompts match the received
information with the development of questions. At this point, the interviewer ensures that the research
elements under analysis are included. The probes are related to the supplementary questions that may
expand the observed components and increase the ballast of incoming data. The probing technique
comprises different enhancers of content delivery (or subsets of probing) such as the reflection,
clarification, appreciation and understanding, justification, relevance (within elliptical narratives),
and exemplification (Gillham, 2004). The interviewees are the key-informants (as considered in the
epistemological assumptions of the research), as they convey relevant knowledge about the
phenomena under study and might accumulate a gatekeeping role when the tacit information lies
exclusively within the individual, which assumes a gatekeeper position of control, granting or denying
access to a setting (Warren and Karner, 2005). In this context some scholars advise preparation and
training prior to conducting the interview, since establishing rapport with the interviewee is critical.
Rooted in the study of kinesis, proxemics and semasiology that are associated with the posture and
body language and body intelligence (of the interviewer) and his/her action signing, these factors
have both an impact on the predisposition of the key-informant/gatekeeper to divulge information
and on the type of delivered content (Farnell, 1999; Warren and Karner, 2005). The utilization of the
interview as a key method in this research is portrayed in this frame (Table 14):
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Table 14 – Research interview design
Basis/dimensions Identification
Organizing phases Preparation, pre-test, conduction and data-mining
Conducting phases Pre-introductory, introductory, opening development and
substantive content, and closure
Approach Qualitative inquiry
Type Research interview
Interaction Dyadic (two actors)
Style Non-directive
Focus Management of insights
Objective Synchronization of meaning
Insights Prompts and probes
Actors One interviewee; One interviewer
Inquiry Intensive / in-depth interview
Tools and resources Interview guide, demographic questionnaire, List of questions,
interview agreement form, laptop computer, sound-recording
device, and notebook
Paperwork - idiom Portuguese (PT)
Spoken Idiom Portuguese (PT)
Language Formal
Formality-level Medium/high
Timeframe Not limited
Schedule Working hours
Date July 2017
Assumptions Interviewees as key-informants and gatekeepers
Format Semi-structured interview
Process Dual non-standardization (on the sequence of questions, and
phrasing)
Questions General questions and supplementary questions; non
standardization on its sequence
Questions-metrics Not applied (N.A)
Ethics Described in the interview agreement form
Mode Vis-à-vis
Validity Pre-testing of questions (Jun-17)
Environment Chosen by the interview
Location Workplace of the participants
Output Transcripts Source: Own elaboration
Considering the prompt content of the interview guide, whose design is referred to above in Table
14, the following linkage of the questions (Q) with the research paradigm can be shown here:
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Figure 30 - Prompts of the interview guide and research paradigm
Source: Own elaboration
Figure 29 exhibits the correlation of the prompts as pre-conceived questions contained in interview
the guide and the research paradigm, demonstrating the visual link of the propositions (Pr) with the
Q (1-10). Although, it is possible to observe that the outsider-research gives space for the unstructured
periods during the interviews as this study aims to achieve the point of saturation of information;
therefore, the probes as an emergent source for richer synchronization of meaning are recognized as
being connected to the first and second order coding. However, Figure 29 exposes the dynamics of
the utilization of prompts and probes in the context of the codification system (Appendix 2).
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Figure 31 – QDA inputs and the triple helix
Source: Own elaboration
The inputs (probes and prompts) are centrifuged in a QDA process resembling a triple helix, as the
coding categories within the second-order coding are three (DC, UM and OP) that contain its
respective (dimensional) themes and concepts. These inputs in the form of coding units derived from
the informants or gatekeepers are processed according to the coding categories. First, the inputs are
associated with concepts (first-order coding) and then the initial codified information is grouped up
into themes and dimensions of constructs (second-order coding). The informant-centric interaction
with the participants uses a semi-structured form, containing a protocol of interaction dependent on
the interview guide and its pre-formulated questions (adjusted during the pilot testing phase) and on
the assumptions addressed in subsection 3.7. Research Ethics, allowing the dynamics and unstructure
to emerge during the context of face-to-face interaction and reducing bias on the investigation.
3.6.2. Problematization of data bias – sources, and assumptions
The accessibility (to the interviewees), environment, and the size of the sample may constrain the
outcome of data. (Gillham, 2004). Nevertheless, flexibility should be stressed, as Silverman (1993)
argues because open-endedness or non-directive interviewing (as a feature of interviews as opposite
to questionnaires) is a form of social control that shapes the insights of the interviewee. Moreover, a
minimal presence (asking questions/inquiring) may generate an interpretative problem to the
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interviewee about what (content) is relevant, and the passivity of the interviewer may constraint the
interviewee to talk. Thus, Gillham (2004) argues that control, as the sense of management of the
interview, is fundamental to skilled interviewing, to keep track of the reliability of data. Conversely,
the anxiety and over-controlling of the interviewees stall them.
The lack of ability and untrustworthiness of both (bad interviewers/interviewees) may bias the data
from the interview, such as the unpredictability of highly flexible interviewing structures may give
rise to distorted contents (Gillham, 2004; Silverman, 1993). The research of Silverman (1993,
2001:98) emphasizes that methodologists, researchers and interviewers are all uniformly engaged in
the synchronization of meaning. Here, the management of the distinctive role of one before the other
is blurred by common sense devices for making sense of the environment, considering however the
equivalent relevancies, stocks of knowledge, typifications, recipes and rules. Moreover, the
interviewer should bear in mind that pre-conceived notions of reality hinder the expert openness
required to conduct the research interview (Gillham, 2004).
As the main challenge of the interviews’ data collection is to assume an approach that mitigates biases
(Eisenhardt and Graebner, 2007; Eisenhardt, 1989), each participant (Pn) is perceived as being a
highly knowledgeable individual with insightful information about the focal firm that he/she
represents. No limitations were imposed with regard to the inclusion of organizational actors from
several hierarchies, as the aim of the research is to obtain the saturation point of information (Glaser
and Strauss, 1967; Strauss and Corbin, 1998; Mason, 2010; Myers, 2013). Yet, it should be noted that
despite the assumptions about the participant being defined as a key-informant and gatekeeper, no
preconceived notions about the research interview should exist in the qualitative inquiry design
beceause these may restrict the view of the interviewer and blur the expert key skill of openness that
is required (Collis and Hussey, 2014; Gillham, 2004).
3.7. Research Ethics
The thesis follows the conventional writing format of the American Psychology Association (APA)
guidelines as a referencing system, commonly designated as APA format, (Schwartz, Landrum,
Gurung, 2016). The structure and presentation of this thesis follows the APA format and the general
behavior towards the presentation of the contents, writing style, use of the literature and
methodological development of the research is also conducted in accordance to APA style. The latter
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has a larger scope that embodies three components: objectivity, credibility of the sources, and an
evidence-based approach. Objectivity, is related to the commitment to test the research questions and
propositions, to the detachment of formality in language to the benefit of an effective communication
of the research, and to comply with the research-centric distance concerning the universe under
investigation, using a theoretical ground for the empirical testing. The second component, the
credibility of the sources, is related to the preservation of the chain of evidence, the non-adulteration
of the contents, that build on previous findings and use citations to corroborate one´s own claims,
while crediting the key sources reviewed to avoid practices of plagiarism.
Both APA format and style, are used according to the five principles for research ethics postulated in
APA code of ethics (Smith, 2003). In turn, the code of practice of this research complies with these
by: defending the intellectual properties; taking on a conscientious and responsible role while
conducting the investigation; following informant-consent rules; respecting the confidentiality and
privacy of the participants; and tapping into ethics resources.
The thesis therefore complies with the code of ethics of APA, adopting these as a self-imposed code
of practice, and cumulatively, as an ethics statement, of the researcher to high academic writing
standards, as the aforementioned principles are strictly respected in this thesis. First, the researcher
bad academic practices related to the misuse of intellectual properties, and abusive practices of
plagiarism. Furthermore, with the approval of the supervisor committee the researcher distributed an
interview agreement form to all the participants in the primary data collection to attest to their
voluntary accession, confidentiality, anonymity, data security and the non-harmfulness of the
research to be conducted. The appended document was read and signed by both the interviewees and
the researcher. All sessions were audio recorded, using a Phillips voice tracer with previous
authorization and agreement of all the interviewees. Finally, the research conducted follows an ethical
framework for human participation, with no physical or psychological intrusion in the health and
well-being of the participants. Moreover, the resources and tools used to conduct the interviews were
harmless to their integrity and did not violate any human rights conventions, such as the regulations
of the Belmont report, regarding the ethical framework for human participation in research.
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3.8. Data Analysis Rationale
In the interpretivist paradigm the collection of qualitative data is not detached from the analysis as an
iterative process of data collection and theory building (Collis and Hussey, 2014). The analytical
process used to handle the primary data from the interviews in this research is content analysis (CA).
A qualitative CA is applied because it is an accepted method of textual investigation for analyzing
written, verbal and/or communication content (Silverman, 1993; Elo and Kyngäs, 2008), and to
condense raw data into categories and themes (Zhang and Wildemuth, 2005). The CA “views data
representations not of physical events but of text, images and expressions that are created to be seen,
red, interpreted and acted on their meaning” (Krippendorf, 2004:18). Discourse analysis was totally
discarded as a methodological option. Despite the use of verbal language and written texts in CA
approach, the CA analyses the use of the language in a social-psychological context, focusing on the
study of the rhetorical and argumentative organization (of talks and texts) to identify the particular
strategies used into a particular outcome (Silverman, 2001; Collis and Hussey, 2014).
Looking at the two main approaches of CA, the mechanistic and interpretative (Collis and Hussey,
2014), and its subsets (the form-orientated CA and the meaning-orientated CA), our approach towards
the refinement of the analytical method relied on the adequacy of the theoretical alternatives to this
research. Therefore, it oriented towards the interpretative approach. The mechanistic approach lacks
appropriateness, as the focus of the form-orientated CA relies merely on frequency analysis of the
accounted words or expressions, and the meaning-orientated CA on underlying themes in the text.
The interpretative CA demonstrates a higher level of adequacy when disaggregating text into parts
and describing each part to gain a broader understanding of the whole.
The structure of the qualitative (interpretative-based) CA considered in this thesis is deductive, as the
deductive CA is contigent upon the basis of previous knowledge due to the existence of applied and
basic research (academic and practitioner-based) studies in the field and market under analysis,
although, not with the same paradigmatic stances. The deductive CA accounts for any prior
knowledge of the field and cumulatively, any attempts to test theories, in different conditions and
timeframes (Elo and Kyngäs, 2008).
Thus, we pursued a deductive approach to theory development, through an iteractive deductive (data)
interpretativist exercise of content analysis that is represented in three main phases: preparation,
organization and reporting (Elo and Kyngäs, 2008). The preparation phase starts with the selection of
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the units of analysis (UAs) related to the interview protocol (or observation protocol) and analytical
methodology decision-making. Subsequently in the organization phase a systematized categorization
of the language is undertaken (Burnard, 1996; Weber, 1990; cited in Elo and Kyngäs, 2008), which
includes the choice of the type of content to analyze - manifest or latent content (Burns and Grove,
2005, Catanzaro, 1998, Morse, 1994, Robson, 1993, cited in Elo and Kyngäs, 2008). In this thesis,
we circumscribed ourselves to the manifest content as the non-verbal language (such as silent pauses,
sighs, laughter and/or the posture of the interviewees) is not relevant for the aims of the research. The
manifest content considered is solely the verbal testimony of the participating interviewees. The
audio-recorded data collected throughout the interview is transposed to a written transcript, on which
is the interview data is manipulated. Finally in the reporting phase, we strove to generate a double
outcome from the analytical practice (in order to perceive the phenomena to make sense of the data
and to obtain a better overall understanding (Burnard, 1991; Tesch, 1990; cited in Elo and Kyngäs,
2008).
For the application of the CA method in the thesis, we followed the general analytical procedure of
Miles and Huberman (1994) since this procedure prescribes to a systematic treatment of qualitative
data that is not tied to any data collection technique (Collis and Hussey, 2014). The framework is
based on the content analysis framework of the concurrent flows of activities (Miles and Huberman,
1984), and it involves three simultaneous flows of activities. These overlapping activities are
illustrated below in figure 30.
Figure 32 – Overlapping stages in Qualitative data analysis
(Data
collection)
→
(Data analysis)
1.Data reduction
→
(Data analysis)
2. Data displays
→
(Data analysis)
3. Conclusions
and verification
Source: Miles and Huberman (1994, 1984)
The data reduction identifies “the process of selecting, focusing, simplifying, abstracting and
transforming data that appear in written-up field notes or transcriptions” (Miles and Huberman,
1994:10) and it is the first stage in the data analysis process. Furthermore, data reduction unfolds
through three main particularities: the selection of data (according its relevance), the restructuring of
data (fitting the data in a theoretical framework) and the detextualizing of data (through a
diagrammatic summarization).
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Table 12 – Main features of data reduction
Main Features Description
Reducing Continuous data reduction
Restructuring Anticipatory data reduction
Detextualizing Diagrammatic transformation Source: Miles and Huberman (1994)
The first is the continuous data reduction that accounts for the separation of data according to its
relevance for the study, removing the non-relevant parts and giving order to relevant content
according to its relations of interest (Collis and Hussey, 2014). The second, anticipatory data
reduction, implies the usage of theory to restructure data and order it into categories. The last
(detextualizing data) implies the diagrammatic transformation of verbal/written format evidences of
relevant content, and its categories using networks (a series of labelled nodes that link to representing
the type of relationships between constructs) or matrices (displaying in chronological sequence, in a
table format a set of events), and charts and or graphs. In this thesis, networking diagrams are used
as described in subsection 3.8.1. Data Structuring and Codification. The data display stage is
intrinsically related to the detextualizing process as it provides an outcome to the dematerialization
of the transcripts (word-based evidence) in the previous data reduction part, summarizing data in a
decomplexed format with a systematic order that exhibits the foundation for a diagrammatic analysis
of the information for extrapolating further conclusions. In summary, the analytical procedure
applied is presented (Table 13):
Table 13 – Analytical procedure: Method and Framework
Basis of analysis Type of analysis
Data - source: Transcripts (of interviews)
Type of data: Manifest content
Type of method: Content Analysis (CA)
Phases of the method: Preparation, organization, reporting
Method - category: Qualitative Content Analysis (QCA)
Method - subcategory: Interpretative QCA
Methods approach: Deductive QCA
Theoretical framework: General analytical procedure
(Miles and Huberman, 1994)
Framework - activities: Data collection; data reduction, data displays, and
conclusion and verification
Sub activities (of the data
reduction activity):
Reducing data, structuring data, detextualizing data
Sub activities of the data display
analysis:
Generation of the coding map; and diagrammatic
analysis
General data Structuring /
coding - description:
Indicated in subsection 3.8.1. data Structuring and
Codification Source: Own elaboration
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As the theoretical framework is thoroughly exhibited and advocated for in this section and
synthesized in Table 15, it is unveiled within this outline, the data manipulation structuring and its
underlying codification.
3.8.1. Data Structuring
Devising an approach that allows a bona fine systematic presentation of qualitative data is at the roots
of our structuring and coding methodological process, which is in opposition to the classic skepticism
towards qualitative research (Gioia, Corley and Hamilton, 2013). First, we have considered the roots
of the language coding systems (in semiotics) that are encompassed on the the models of Saussure
(1959) and Peirce (1955) (Bryman and Bell, 2015). Language as an overall system comprised in the
Saussurean model (semiology) supports the prominence of a sign system based on codes that consider
the role of the signifier (a proper sign) and the signified (concept triggered by the signifier). This sign
system, it is argued, is based on the link between both the signifier and signified, and the formation
of networks and patterns of significance. The key part of the legacy of Saussure (1959, cited in Shank,
1995) is the notion of code, currently perceived as a “word and short phrase that symbolically assigns
a summative, salient, essence-capturing and/or evocating attribute for a portion of language-based
or visual data” (Saldaña, 2015:3). This system fits the thirdness of the triadic theory of reality of
Peirce (1955) of Aristotelean etymology (of notion of potency and act) where the world deals with
laws, rules and habits and contains systems comprised of firstness (pure potency – issues of
possibility) and secondness (pure action-reaction relationship). The model of Peirce (1955) supports
both this contextualization and the epistemological and axiological assumptions (related to the
participants) about the informant-centric language and commitment to the explanation the reality.
Cumulatively we applied the Weber protocol (1990), which refers to a coding scheme for avoiding a
biased codification of data, based on eight steps for creating, testing and implementing the coding
system.
Secondly, we followed the general analytical procedures of Miles and Huberman (1994, 1984) for
analyzing qualitative data, as described in subsection 3.8. Data manipulation and analysis. Finally,
the framework of Gioia (2009) is used to manipulate the qualitative data of a dual first-order and
second order coding. Thus, the design of our codification system is based on, the Saussurean model
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encompassing the primary notion of code, signifier-signified binomial, on first-order and second-
order codification, and finally, on the Weber Protocol (Saussure, 1959; Weber, 1990).
3.8.2. Data-mining and codification
The Gioia framework (2009) is similar to other twofold systems such as first and second cycle coding
(Saldaña, 2009) and/or open and axial coding (Strauss and Corbin, 1998). Even though these
taxonomies share commonalities since they interrelate two separate levels of content, although Gioia
(2009) exhibits a ductile application, as the remaining focus is hitherto in the grounded theory method.
The Weber protocol (1990) is followed in this research due to its eight step structure that outlines the
use of a coding scheme that is perceived as an avoider of the rater bias. The role of the rater is played
by the outside-researcher who accumulates the conducted interviews codification testing and
implementation.
Table 14 - Codification System (CS) - Weber Protocol
Steps Description
I Definition of the coding units
II Definition of Coding Categories
III Testing the coding (on a sample text)
IV Assessment of the accuracy on the sample coding
V Revision of the coding rules
VI Repetition of testing (until achieving the suitable reliability)
VII Coding all text
VIII Assessment of the accuracy and reliability Source: Weber, 1990
The coding protocol used connects informant-centric insights from the participants with researcher-
centric analytics, according to the ground assumptions related to both parts (Eisenhardt and Graebner,
2007), using a coding frame linking both tiers (Collis and Hussey, 2014) and the introduction of a
pre-testing phase for measuring the reliability of the code (Bryman and Bell, 2015).
The first, informant-centric insights, refers to the practitioner-based language, and terminology
conveyed in the words, phrases, sentences and paragraphs verbalized by the participants (Pn). The
second, research-centric analytics, exhibits the manipulation (that the outsider-researcher does) of the
data from the informants, and its subsequent labelling in coding units (Collis and Hussey, 2014);
coding categories and rules (Bryman and Bell, 2015). This data manipulation accounts for the
concepts, themes, and dimensions (Van Maanen, 1979) in order to reach a wide-ranging body of
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evidence that adequately justifies the assertions of this research and fulfills the attributes of
sensemaking/sensegivng (Gioia, Corley and Hamilton, 2013). From the amalgamation of informant-
centric insights, and a myriad of terms and codes that earlier emerged from the interview protocol the
researcher sought similarities/differences and formulated the initial germane categories that will
evolve into a more manageable number of categories through a sorting/vetting process. During this
stage, the outsider-researcher categories´ data inputs are bifocally manipulated in a methodologically
and theoretically manner. The methodological manipulation of data embodies a “gestalt analysis”
(Gioia, Corley and Hamilton, 2013; Gioia and Chittipeddi, 1991) consubstantiated in the creation of
a first tier of data structuring. The focus is sensemaking, through the (re)construction of an
explanatory framework (of the meaning system). The second, theoretical manipulation of data, is a
sensegiving focus with the aim to capture the relationships among the second order (themes and
aggregated dimensions) and to influence sensemaking through the social (re)construction of the
observed reality revealed in the interviews. In parallel with this, it should be stressed for the sake of
the insusceptibility of this investigation that the (outsider) researcher was aware of the risk of
confirmation bias in the manipulation of the data, due to the acknowledgement of critical literature
in the field (Alvesson and Karreman, 2007; cited in Gioia, Corley and Hamilton, 2013) related with
the anticipatory data reduction (Miles and Huberman, 1994). In this way, the first order coding, stages
and their characteristics are presented in Table 15.
Table 15 – 1st Order Coding Method
Phase Stage Main features
I Continuous data reduction Reducing data –selection and separation of
relevant data
II Anticipatory data reduction Restructuring data – synchronize informant-
centric insights with pre-existing theoretical
frameworks and initial germane categorization Source: Miles and Huberman (1994)
The last feature of the data reduction phase (detextualization), and the third stage (data displays) of
the general analytical procedure of Miles and Huberman (1994) for qualitative data analysis are not
identified in table 14. The detextualization of data, and subsequently its visual diagrammatic
representation are clear research-centric analytical tasks that belongs to the second order coding
process, related with the representation of constructs and their interrelations. The second order coding
of data accounts for the following order of actions/steps suggested by Gioia and Chittipeddi (1991):
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Table 16 - Second Order Coding Method
Phases Description
Phase I Examination of the insider-researcher contribute, via a content analysis (CA) using
the framework of Miles and Huberman (1984).
Phase II Comparative analysis of data across informants to determine, patterns of
convergence/divergence and extrapolate the themes or processes
Phase III Extract the theoretically explanatory dimensions of the emergent patterns of data
Phase IV Integrating patterns into a conceptual/theoretical framework represented in a
cognitive mapping
Source: Gioia and Chittipedi (1991)
Assuming the form of a diagram that visually represents the observed reality, the cognitive mapping
attempts to provide a structure to the testimonies of the participants, representing their verbal
contributions (Collis and Hussey, 2014). Subsequently, the verbal information is manually
typewritten, and therefore, transformed into a written format evidence (transcript), which is the
primary element of data manipulation. Thus, this cognitive mapping reflects our outcome of the
assignment of second order data manipulation. The personal network diagram of theoretical
constructs, which is generated with the cognitive mapping is a problem-oriented sensegiving purpose
(Gioia, Corley and Hamilton, 2013; Gioia and Chittipeddi, 1991).
The use of the cognitive mapping technique, instead of the repertoire grid technique for data
structuring of our primary qualitative data is related to the limitations of the latter framework to
establish comparisons and interrelations among constructs (Collins and Hussey, 2014).
The principle underlining our process of data structuring and codification is grounded in the fact that
the intensive text-mining should not destroy the meaning of it (Miles and Huberman, 1984). Its
systematic treatment intends merely to instrumentalize the use of the codification process in order to
achieve further comprehension of the reality in a double sense (make/giving), utilizing “gestalt
analysis” (Gioia, Corley and Hamilton, 2013; Gioia and Chittipeddi, 1991) and building up a meaning
system. While uncovering the major features of the collected qualitative data, we take advantage of
its richness and holism (Miles, Huberman and Saldana, 2014), complexity and “thick descriptions”
as the researcher interprets an observed setting (Geertz, 1973; cited in Miles, Huberman and Saldana,
2014; Warren and Karen, 2004) and its capacity to explain real life (the naturally occurring ordinary
events). In this sense, well-collected and treated data, buttressed by local groundedness enables an
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understanding of latent, underlying, and nonobvious phenomena (Miles, Huberman and Saldana,
2014) with a greater potential of social construction (Gioia and Chittipeddi, 1991). Summarily, the
data structuring and coding system accounts for the following components (in Table 17):
Table 17 - Morphology of data manipulation
Components Phase Levels-
analysis
Levels -
description
Codification
basis
Purpose -
Coding
Agents
Data structuring/
Coding
continuous
data
reduction
1st-order
coding
informant
centric
Germane
categories
Sense-making
(gestalt
analysis)
Insider/outsider
researchers
Data structuring/
Coding
anticipatory
data
reduction
2nd-
order
coding
research
centric
Themes and
dimensions
Sense giving
(meaning
system)
outsider-
researcher
Cognitive
mapping
data display coding
system
diagramma
tic
Construct/
semantic
interrelations
Sense-giving /
Problem-
solving
outsider-
researcher
Source: Own elaboration
As the coding system above mentioned in Table 17 reflect the whole data structuring, coding
attributes, and the cognitive mapping, in subsection 4. Data Results and Displays the separate (and
aggregated) diagrammatic analysis of the four case studies and of each instance (Figure 23, 24, 25
and 26) can be found here. The underlying codification system is exhibited in appendix 2 and entails
the design, rationale, coding frame, units and categories, the coding scheme, and the coding rules.
3.8.3. Measurement Units and Scales
The scales are acknowledged as instruments of measurement and evaluation, self-constructed by the
researchers to quantify the responses obtained to a particular variable (Freixo, 2012). Considering the
type of data in which the measurement of the phenomena is a reality in this study (secondary data),
this section intends to clarify the methodological options with regard to the scrutinized constructs.
Therefore, the levels of measurement, the categories, and techniques that were employed are
discussed below, along with the underlying rationale for both their selection and relatedness to the
aims of our research and research questions. (Table 18).
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Table 18 - Classification of scaling categories and tecnhiques
Classification Phenomenon Data type Aims R. Questions
(P/S) (An) (RQn)
Scalling technique(s) Staple Scale (SS) Geog. Distance S A2 RQ2 Staple Scale (SS) Psyhic Distance S A2 RQ2
Source: Own elaboration
The use of the Stapel scale (SS) is used due to its adequacy for measuring directionality and intensity,
instead of applying the SDS fitting the classification of a non-comparative-scale (NCS) type of
technique within the subset of itemized rating scale (IRS). The SS comprises five (5) points, due to
the appropriateness to measure direction and intensity, as well as its fitness to test either pair
adjectives or singular adjectives in a bipolarity or unipolarity mode.
Yet, it should be mentioned that the selection of the scaling technique did not circumscribe itself to
the problem definition under investigation, the type of data collected nor to the choice of the type of
scales. The choice of the latter accounted for other factors, such as the number of categories, the
ordinal and interim properties of the scale, the transivity principle between categories, the type of
category labels, and the balancing of the scale (Yusoff and Janor, 2014; Moreira, 2009; Matheson,
2006; Stevens, 1946). The ordinal-level scaling property refers to the transitivity principle of the
scale where category A is bigger than B, B is bigger than C, and so forth, so that A is bigger than
C.The interim-level indicates the existence of different grades in the scale that account for a constant
magnitude along the whole scale (Moreira, 2009).
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4. RESULTS
In this chapter, secondary and primary data are combined, respectively, in sections 4.1.and 4.2. First,
the secondary data identifies the industrial classification of the (businesses) of the partaking firms
(Table 19 and 25). Second, the general characteristics of the firm are described the general
characteristics of the firm (Table 20), internationalization profiles (Tables 21, 22, 23 and 24).
Conversely, the features of the presence of each firm at overseas markets are mapped (Tablse 25, 26,
27 and 28) and classified the firms in terms of GD and PD according the scaling selection (Table 18)
and its corresponding descriptors of the measurement unit of the Staple scale (SS) that are presented
in Appendix 3. In parallel, internationalization is outlined within three parameters (assets, revenue
and employees) and referred to in terms of each firm´s transnationality position (Table 30 and 31)
and risk-perception profile (Table 32).
4.1. Secondary Data
We initiate the approach to secondary data, through a systematic manipulation of data, an overall
description of the characteristics of the industry and the partaking firms addressing their strategic
business units (BU) and economic classifications, and internationalization features (Table 17).
Table 19 – Industry-level characterisation (of economic activities)
SBU Activity Sector Economic Technological Internationalization
Family Intensity Pattern Type
1 Manufacturing
industries
Secondary Transactional
Medium-high
tech industries
Trade and direct
investment
Global
Source: Own elaboration
(Compliance with the ISIC and NACE classifications; Sources: Eurostat, 2008; INE, 2007; Hatzicronoglou, 1997; Grant, 2010; SBU
– Strategic Business Unit)
Some commonalities can be observed among the four firms. First, all are private equity (PE) held
firms, fitting the classification of a private-owned company (POC) unquoted in the stock markets and
with the majority of its social capital detained by Portuguese investors; therefore, adjusted to the 10%
threshold of equity and voting power of OECD´s (2007) definition of international investor. Second,
they all compete within local and external markets and fit into a pattern of global industries (Grant,
2010). Three cases (F1, F2 and F3) pursue a hybrid model of transactional and investment mode of
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internationalization mode, and only one (F4) fits within the pure model of the transactional paradigm.
One (F3) possesses headquarters overseas (Spain). Third, these cases exhibit a low level of
diversification in their competition patterns, since their activities are concentrated in a sole business
archetype; therefore, the observation of the levels of relatedness among businesses inside each case
is not applicable. Ergo, they are all congruent with low-level of diversification strategies that are
recognized by a dependence of 95% or above, on a single business (Rumelt, 1974; cited in Volberda
et al., 2011). In addition, the businesses belong to the transactional economy paradigm, fitting the
secondary sector, within the industrial classification of industrial manufacturing firms (INE, 2007).
All of these cases are capital-intensive firms that are categorized as industries of medium-low
technology (MLT) - F1, F2 and F3 - and low tech (LT) (LT) - F4 - according to the technology
intensity classification (Starbuck, 1992; Hatzichronoglou, 1997; OECD, 2011).
Table 20 shows the codes of economic activity where the firms compete, and their current data related
with total Assets (A), Revenue (R) and Employees (E).
Table 20 – General characteristics of F1-F4
Firms
Assets
(A)
Revenue
(R)
Employees
(E)
ISIC
(M €) (M €) (No.) (CAE Rev. 3) / CNAE 2017
F1 38,88 33,44 122 (CAE Rev. 3) 24420 - Production and
Transformation of Aluminium
F2 89,28 94,18 185 (CAE Rev. 3) 27320 - Manufacture of
other electrical and electronic wires
and cables
F3 10,91 4,7 3 (CNAE) C243 - Manufacture of other
first class steel products
F4 3,04
2,59 40 (CAE Rev. 3) 16420- Manufacture of
wooden articles
Source: Own elaboration
(The total of assests and revenue is expressed in the Millions of Euros (M. €) and is related with exercise of the year 2016.
The International Standard Industrial Classification is transposed for the Portuguese as CAE - Código de Actividades
Económicas (INE, 2007) and to the Spanish law as CNAE - Clasificación Nacional de Actividades Economicas (CNAE)
where the companies have their headquarters. The CAE revision 3, and CNAE 2017, are the vigent versions.)
(F1, F2 and F3 – code 27; F4 – code 22 for technology intensity classification - Eurostat (n.d.); high-tech (HT);
medium-high tech (MHT); medium-low tech (MLT); low-tech (LT)
Using the accounting data of the firms from the year 2016, the table above compares the general
characteristics of the four partaking firms, uniquely considering that period (civil year) with inward
data provided voluntarily provided by the participants. The results demonstrate a clear supremacy of
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F2 in all three parameters A, R and E, and similarly, a clear position of F1 with second highest results.
The results of F3 and F4 are intermittent, because F3 holds a third place in the A and R parameters
while F4 holds the same place in the E parameter.
4.1.1. Host-markets
To comprehend the internationalization patterns of each case, the foreign market´s implantion are
analyzed (Table 19, 20, 21 and 22). Therefore, the total number of markets were identified, showing
where each firm is currently settled, its starting point, the longevity, the typology of the markets and
the generated revenue.
Table 21 – Case-study: Internationalization profile of F1
Factor Entry
(Year)
Longevity
(Year)
Exit
(Year)
Revenue
(2016)
GCI
Ratio
GCI
Level
Internationalization 15,78 Spain 1995 12 - 4,7 3
England 2001 16 - 5.5 3 France 2006 11 - 5,2 3 Italy 2008 9 - 4,5 3
Source: Own elaboration (The revenue is expressed in the Millions of Euros (M. €) aggregated of all markets. The GCI (Global Competitive
Index) level is 3 (innovation-driven), level 2 (efficiency-driven), level 1 (factor-driven) and in transition (1-2; and 2-3).
The economies not classified appear with “n.d.” (Not defined).)
In case F1 that the firm focusses its attention towards the European markets, centered in the EU Zone.
It operates in a restricted group of four countries of greater geographical proximity. The firm´s
internationalization is in an adult phase since it started in 1995, and the firm reveals an average
presence of twelve years per market. The markets exhibit some similarities, which is a high global
competitive ratio in the global competitive index (GCI), all of which are classified as innovation-
driven economies (level 3).
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Table 22 - Case-study: Internationalization profile of F2
Foreign Markets
Factor Entry
(Year)
Longevity
(Year)
Exit
(Year)
Revenue
(2016)
GCI
Score
GCI
Level
Internationalization 57,94
Cape Verde 1985 22 -
57,94
3,8 2
Spain 1995 12 - 4,7 3
England 2001 16 - 5.5 3
Germany 2004 13 - 5,6 3
Belgium 2005 12 - 5,3 3
Netherlands 2005 12 - 5,6 3
S. Tome & Prince 2005 12 - n.d. -
France 2006 11 - 5,2 3
Italy 2008 9 - 4,5 3
Switzerland 2010 7 - 5,8 3
Chile 2012 5 - 4,6 3
Hungary 2013 4 - 4,2 2
Morocco 2015 2 - 4,2 2
Jamaica 2015 2 - 4,1 2
Czech Republic 2015 2 - 4,7 3
Mauritania 2016 1 - 2,9 1
Source: Own elaboration
The revenue is expressed in the Millions of Euros (M. €). The GCI (Global Competitive Index) level is 3 (innovation-driven), level 2 (efficiency-driven), level 1 (factor-driven) and in transition (1-2; and 2-3). The economies not classified appear with “n.d.” (Not defined).
The F2 case discloses substantial differences compared to the first (F1). First, the number and type
of markets where it operates since it is present in sixteen different countries, in three different
continents (Europe, Africa and America). In Europe its presence is observed in the Euro-zone, in
other EU State-Members (Euro28) and in other non-E.U. nations. Outside this region, the firm is also
represented in the African continent belonging to the CPPL-Member countries and to the Magrebe in
North Africa, and in America to Central and South American countries. The firm´s
internationalization started previously (than F1) and exhibits an average longevity per market of 8,88
years.
This case reveals a higher level of greater market diversification. The competitive scope is spread
across a broad number of geographies and encompasses countries within the GCI levels 1, 2 and 3.
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Table 23 – Case-study: Internationalization profile of F3
Foreign Markets
Factor Entry
(Year)
Longevity
(Year)
Exit
(Year)
Revenue
(2016)
GCI
Score
GCI
Level
Internationalization
Chile 2012 5 -
6,39
4,7 3
Colombia 2012 5 - 4,3 2
Paraguay 2015 2 - 3,7 2
Uruguay 2015 2 - n.d. -
Honduras 2016 1 - 4,0 2
Source: Own elaboration (The revenue is expressed in the Millions of Euros (M. €). The GCI (Global Competitive Index) level is 3 (innovation-driven), level 2 (efficiency-driven), level 1 (factor-driven) and in transition (1-2; and 2-3). The economies not classified appear with “n.d.” (Not defined)).
Case number 3 reveals substantive differences compared to the previous firms. First, this firm is in
an early-stage of internationalization, which began in 2012; therefore with a lower longevity per each
host-market. Second, this firm is registered with an altered orientation with regard to the host markets,
demonstrating a clear preference for the South American region towards Spanish-speaking countries
with a GCI level 1 and 2. Notably, what these firms have in common is a non death-rate regarding
the abandonment/loss of external positions. The revenue of F3 is also significantly lower than from
F1 and F2. F3 annual revenue in the civil year of 2016 represents 40.49% of F1 and 11.03% of F2´s
figures for the same indicator and time period.
Conversely, we may emphasize on this data that F2 occupies one hegemonic leadership among the
other cases in terms of revenue, seniority and longevity in foreign markets and market heterogeneity
(expressed in the GCI scores) with geographical dispersion through three different continents. In
addition, is the only case maintaining a position at the markets of the CPLP; however, both cases F2
and F3 exhibit the presence at Portuguese- speaking and Spanish-speaking markets. Yet, data reveals
that the international exploration/exploitation processes at Hispanic markets is more pronounced in
F3. Thus, the F1 and F2´s internationalization model might be guided by cultural proximity comprised
in the U-model´s psychic distance factor conditions, which will test in primary data.
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Table 24 – Case-study: Internationalization profile of F4
Foreign Markets
Factor Entry
(Year)
Longevity
(Year)
Exit
(Year)
Revenue
(2016)
GCI
Score
GCI
Level
Internationalization
Cape Verde 1985 22 -
2,1
n.d. 2
Spain 1995 12 - 4,7 3
England 2001 16 - 5.5 3
Germany 2004 13 - 5,6 3
Belgium 2005 12 - 5,3 3
Netherlands 2005 12 - 5,6 3
S. Tome & Prince 2005 12 - n.d. -
France 2006 11 - 5,2 3
Italy 2008 9 - 4,5 3
Switzerland 2010 7 - 5,8 3
Chile 2012 5 - 4,6 3
Colombia 2012 5 - 4,3 2
Hungary 2013 4 - 4,2 2
Morocco 2015 2 - 4,2 2
Jamaica 2015 2 - 4,1 2
Paraguay 2015 2 - 3,7 2
Uruguay 2015 2 - n.d. -
Czech Republic 2015 2 - 4,7 3
Honduras 2016 1 - 4,0 1-2
Mauritania 2016 1 - 2,9 1
Source: Own elaboration
(The revenue is expressed in the Millions of Euros (M. €). The GCI (Global Competitive Index) level is 3 (innovation-
driven), level 2 (efficiency-driven), level 1 (factor-driven) and in transition (1-2; and 2-3). The economies not classified
appear with “n.d.” (Not defined)).
Looking at case F4 some distinctive features are acknowledged, through a dyadic comparison with
the other firms. First, it encounters the widest market diversification among the case studied firms.
Second, the fact that these markets, and respectively the firm´s entry-dates into these markets,
rigorously correspond to the data observed in cases F1, F2 and F3. Hence, an assumption can be
raised regarding the rationale of these figures, which is the claim that the IB of F4 is leveraged by
interaction with F1, F2 and F3, given the acknowledged fact that they belong to the same corporation.
This issue is, further examined in subsection 4.3 Triangulations´ mapping, and at section 5. Findings.
Table 25 synthesizes the cases.
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Table 25 - Case-study: Aggregated data (F1~F4)
Foreign Markets
Factor No.
Markets
Longevity
(n years)
Revenue Abroad (RA)
(2016)
RA/TR
(%)
GCI Score
(x̄)
Internationalization
F1 4 22 15,78 40,59% 4,98
F2 16 32 63,90 64,90% 2,68
F3 5 3 57,94 58,55% 4,18
F4 20 7,6 2,10 40,86% 4,32
F1-F4 20 7,67 34,93 51,23% 4,29
Source: Own elaboration
(TR represents the Total Revenue of the firm in the year 2016. RA is revenue of international operations. Both express the mean of the instances (in F1-F4), in Millions of Euros (M) for the year 2016.)
From the observation of the figures above it is clear that the firm with the highest market
diversification inversely exhibits the lowest RA. Paradoxically, the one with the second lowest
diversification demonstrates the highest RA. Conversely, F1 and F2 exhibit higher longevity rates.
The opposite phenomenon is observed in F3 (the one with second lowest number of foreign markets),
which accounts for the singularity of being the one focused in the American continent, within
Spanish-speaking countries and the only one who possesses headquarters outside Portugal being
located in Spain (Madrid) . The figures accounted for in the number of markets and the longevity
phenomenon, when compared, do not account for any specific pattern. This is similar for the ratio
RA/TR, and the market presence with RA/TR. The GCI indicators reveal a diametrically opposite
approach of F2 (compared with the others) because as it is oriented towards efficiency-driven
economies (GCI level 2). In a cross-analysis of the GCI and GEM (Global Entrepreneurship Monitor)
that measures the total entrepreneurship activity (TEA) of the nations, it was observed that the F3
host-markets (efficiency-driven) are inventoried among the stage 2 countries, with an efficiency-drive
(GEM, 2017). In addition to the analysis of the profile of the industry and the company (and its host
market preferences), we also analyzed the relationship of the latter with the geographical position of
Portugal. In this context, we have taken into account the phenomenon identified above in Chapter 1.
Introduction, and we considered, in parallel (to the geographic distance - GD - of Portugal to the
external markets), a second factor, its psychic distance (PD). Thus, we analyzed the GD and PD
factors according to geographic and psychic peripheral measurement scale of business. For this
purpose, an SS (Staple scale) was used as described in subsection 3.9.3 Measurement Units and
Scales, and according to the measuring unit´s developed in conformity, and in attachment, to the SS
which is exhibited in Appendix 3 – Measurement Units and Scales of secondary data. The results are
presented below in Table 26, 27, 28 and 29.
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Table 26 - F1: Current external markets and perception of GD/PD
Market(s) Entry year GD[1] PD[2]
Ireland 1993 L H
Spain 1995 VL H
England 2001 L H
France 2006 L H
Italy 2008 L H
Source: Own elaboration
([1]; [2] -The GD and PD scales are exhibited in Appendix 3)
F1 observes the adherence to the host markets of geographic peripheral proximity and symmetrically the
disregard of PD.
Table 27 – F2: Current external markets and perception of GD/PD
Market(s) Entre year GD[1] PD[2]
Cape Verde 1985 M VH
Spain 1995 VH H
England 2001 H H
Germany 2004 H H
Belgium 2005 H H
Netherlands 2005 H H
S. Tome & Prince 2005 M VH
France 2006 H H
Italy 2008 H H
Switzerland 2010 M VL
Chile 2012 L M
Hungary 2013 H H
Morocco 2015 H VL
Jamaica 2015 L VL
Czech Republic 2015 H H
Mauritania 2016 H VL
Source: Own elaboration
([1]; [2] -The GD and PD scales are exhibited in Appendix 3)
With respect to F2, a symbiotic market presence was observed comprising a positive sensitivity to
both GD and PD factors. Although, it should be noticed that most market belongs to the EU. However,
the exposure to the GD factors will be under radar when manipulating and analyzing the primary data
to comprehend how the Portuguese-speaking markets demonstrate either a true or spurious relation
with the internationalization model of the firm.
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Table 28 – F3: Current external markets and perception of GD/PD
Market(s) Entre year GD[1] PD[2]
Chile 2012 L M
Colombia 2012 L M
Honduras 2016 L M
Panamá 2015 L M
Uruguay 2015 L M
Source: Own elaboration
([1]; [2] -The GD and PD scales are exhibited in Appendix 3)
A peculiar feature is evident in the F3 case. First, the circumscription that is unique to the Central and
South American host-markets can be observed. Second, those that belong to the Organization of
Ibero-American States, Mercosul are all Spanish-speaking nations (SEGIB, n.d.). Third, both Spain
(where the headquarters are settled) and Brazil (as Portuguese-speaking country) are members of the
Organization of Ibero-American States, which may be indicative of the adherence to the PD factor;
however the scale is not demonstrative of the phenomenon (as the SS was built on the assumption of
analyzing GD/PD to/from Portuguese territory´s realm). Yet, primary data analysis will clarify if it
exists either, a true or a spurious relation, between IPPF (in F2) and the GD phenomenon.
Table 29 – F4: Current external markets and perception of GD/PD
Market(s) Entre year GD[1] PD[2]
Cape Verde 1985 M VH
Ireland 1993 M H
Spain 1995 VH H
England 2001 H H
France 2006 H H
Germany 2004 H H
Belgium 2005 H H
Netherlands 2005 H H
S. Tome & Prince 2005 M VH
Italy 2008 H H
Switzerland 2010 M VL
Chile 2012 L M
Hungary 2013 H H
Morocco 2015 H VL
Jamaica 2015 L VL
Czech Republic 2015 H H
Colombia 2012 L M
Honduras 2016 L M
Panamá 2015 L M
Uruguay
Mauritania
2015
2016
L
H
M
VL
Source: Own elaboration
([1]; [2] -The GD and PD scales are exhibited in Appendix 3)
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The results of F4, as above explained, as leveraged, with regard to the international operations, by
the F1, F2 and F3. The firm exhibits a mature presence at the host-markets, triggered by the sales
performance of other sister companies within the corporation. Moreover, the interpretation of this
data does not signal in F4 any GD or PD propensity towards external markets and primary data it is
critical for the comprehension of the IPPF4.
4.1.2. Transnationality Indexes (TNIs)
In the subsection 4.1.1 Host-markets, we have immersed into the observation of the external markets
of the partaking firms. In an aggregate (F1-F4) and isolated way (F1, F2, F3 and F4), the germane
issues were addressed as follows: number and identification, competitiveness ratios (using the GCI
and GEM), generated-revenues, and addressing seminal distance factors (GD and PD), referred in
literature, in line with the problem statement presentd in Chapter 1 (Johanson and Vahlne, 1977; and
Ghemawatt, 2008). We recall that this data came after, a previous quantification of the markets of
competition, a description of the seniority in these markets and longevity and death rate in these
markets.
Table 30 – Transnationality Index (TNI) – Analysis of sample results and the RIEP
Sample RIEP
Factors F1 F2 F3 F4 ∑ (µ) 10 (x̄)
TNI
F(n)
0,14
0,22
0,53
0,26
-
-
Mean 0,29 0,33 0,73
Source: Own elaboration
(Based on the technical report of RIEP for the year 2016. The µ represents the
Population of firms assessed in RIEP´s ranking. The “10 (x̄) the average result of
Top-ten companies with highest TNI)
Looking at the TNI ratios, the results are demonstrated as being quite balanced. First, the mean (F1-
F4) of TNIs registers at a result bellow 42.42% of the average of the RIEP universe of 2016. Second,
F1 accounts a ratio below the barrier of 0.20. This is an indicator of a low external market drive
because the TNI ratios that are equal or below 0.20 uncover a domestic market-orientation (Collinson,
Narula and Rugman, 2017). Second, the cases F2 and F4 exhibit a TNI ratio of 0,22 and 0,26
respectively that is 10% and 30% respectively higher than the minimum breadth of 0,20. Third, F1
reveals a TNI of 0,14 which is 30,00% below the thresholds of 0.20 (which divides the low and
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moderate international orientation) and 57% below the average of the RIEP. Thus, despite the RA
figures of F1, and its presence in four different markets, the TNI indicator prescribes a sintomic
procrastination of its external commitment. Therefore, it is critical to comprehend why the F1 with a
high exposition and dependence on the external markets in its TR results is above 40 percent, may
score low in TNI. A similar reflection can be extended to the other partaking firms.
An interpretation of the TNI results presupposes an initial apprehension of its dimensions and
parameters. The TNI accounts for the firms´ assets (A), the revenue (R) that we have already explored
above, and employees (E). The index weighs the relative international positions of these dimensions
on the overall of the firm, according to the algorithm presented in subsection 3.5.2.2. Sample size and
identification. The parameters considered are the assets abroad (AA), the total assets (TA), the
revenue abroad (RA), total revenue (TR), the employees abroad (EA) and total employees (TE). All
parameters are quantitative measures of the numbered units.
Table 31 – Transnationality index (TNI) – Overview of parameters
Active Revenue Employees Parameters TNI
Factor Aa Ta Ra TR Ea TE n
TNI (Fn) F1 - 33,44 15,78 38,88 - 122 3 0,14 F2 - 94,18 57,94 89,28 - 185 3 0,22 F3 4,7 4,7 6,39 10,91 - 3 3 0,53 F4 - 2,59 2,1 3,04 3 40 3 0,26
Source: Own elaboration
(The unit of measure in the parameters was the Million Euro (M €); Data rounded to decimals and based on
information provided by the firms (for the year 2016))
Accounting these six parameters, and relating it with these previously collected data from F1-F4
distinctive features among cases can be observed. In F1 the results are quite evident of an accentuated
adherence to the transactional mode of internationalization due to null AA and EA results and
simultaneously the lowest RA/TR of 40,59% (as exhibited in Table 23). The other two cases (F2 and
F4) reveal low levels of investment abroad in AA and EA indicators, although the indexes are above
the barrier of 0,20 due to a higher dependence of RA/TR.
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F3 distances itself from the other partaking firms. It is the only firm above the sample average and
the national average of the RIEP index. Second, it has the highest score of the sampling firms, and
finally, its TNI difference to the other partaking firms is above 50%.
4.1.3. Internationalization risk-level profile (C and U ratios)
The market presence of F1-F4, which is shown in Tables 24, 25, 26 and 27, have been cross-
referenced with the SS scale (Table 18) and measurement units of scaling (Appendix 3). This made
it possible to track the risk profile of the firms as described in literature where the internationalization
decisions are based on GD and PD factors are acknowledged as intrinsically connected to sensitivity
to risk (Johanson and Vahlne, 1977; Johanson and Wiedersheim-Paul, 1974).
Table 32 – Classification of market-risk perception (GD/PD)
Factor Geo distance (GD) Psychic distance (PD) Scale
F1 F2 F3 F4 F1 F2 F3 F4 GD/PD
Risk-level
Very-high (VH) - 1 - 1 - 2 - 2 5
High (H) - 3 5 5 5 11 - 11 4
Medium (M) - 1 - 1 - 1 5 5 3
Low (L) 4 10 - 10 - - - - 2
Very low (VL) 1 1 3 4 - 3 - 3 1
Source: Own elaboration
(The classification of the markets per risk-level accounts for the provided information of the firms (of their foreign
markets and the date of entrance). No ponderation applied to the level of market commitment or antiquity per market.
The GD and PD contains the counting of firms fitting the category. The scale is identical for GD and PD.)
The results reveal that F1 gives preference to markets of high geographical and proximity, while F2
falls under the category of mostly low proximity but with a high psych distance. Inverselly, F3 reveals
no dependence whatsoever on GD and a moderate PD, and F4 reveals a predominance of L in GD
and H in PD. The whole sample illuminates that the four cases fit the L tier in GD, and the H in PD,
which means that companies give higher importance to markets of relative proximity and account for,
at a moderate-low level the historical, cultural and linguistic connectivity to their host-markets.
Moreover, we have correlated the market-risk perception using the GD and PD, and the TNI scores
of the parameters AA, TA, EA and TE to obtain, respectively, an uncertainty (U) and a (market)
commitment (C) ratio of the firms, following the U-model. For this purpose, we have used the results
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of the scale SS (as summarily displayed in Table 32), considering the GD and PD of each market
(according to the scale) and obtained the follow results:
Table 33 - Market Commitment, Uncertainty and Max. Tolerable Risk (C, U and R) - Sample Results
Ratio Units of Measurement
Factor F1 F2 F3 F4 Central
tendency(x)̄ Dispersion
Var. (σ2)
Commitment (C) ratio 0,41 0,65 1,59 0,69 0,83 0,28863
Uncertainty (U) ratio 0,58 0,66 0,7 0,65 0,65 0,00251
Source: Own elaboration
First, it is worth mentioning that the revenue dimension (and the two parameters of RA and TR) was
excluded, as the revenue does not account for the determination of commitment or uncertainty in the
U-model. Second, the zero scoring parameters were removed, due to the absorbent property of the
null values. Third, uncertainty perception is, according to the U-model moderate according to the U-
model descriptors of risk (≥ 0,66 - high-risk); ≤ .0,66 ≥ 0,33 (moderate-risk); and ≥ 0,33 (low-risk),
presented previously in subsection 3.5.5.2. The U variance is almost incipient. However, the
commitment ratios exhibit a high variance increased by F3 results in comparison to the remaining
firms. The clear distinction in the assets abroad leveraged the results of the firm.
4.2. Primary data
The data collection occurred subsequently between the period of 6th of July and 11th of July 2017,
after the pre-testing phase of the pilot testing of the questions in terms of their validity, suitability and
acceptability. The pre-testing was conducted in March 2017 between the period of 15th and 17th of
March, where the top-management were provided with access to the interview questions of the
interview guide, and discussed the probes as extra-guide content. The primary data collection is
consubstantiated in vis-à-vis interviews with the participants (P1-P7) accounting for two hundred and
ninety minutes (292 minutes) of sound recorded content. The observed material resulted from the
verbal contributions of the interviewees. The completion of the task of data collection required the
use of the following instruments: the demographic profile questionnaire and the interview guide and
interview agreement form. For this purpose the interviews with middle and top managers of the
partaking firms (F1-F4) in the study were previously arranged. The tables below contain the general
characteristics of the interviewees and the demographic profiling of the interviewees.
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4.2.1. Demographic Profiling of the Participants (P1-P7)
The Table 32 exhibits the general characteristics of each UA. First, its correspondence to the firms,
the contextualization of the participant with a managerial tier, and the contributions portrayed in the
number of questions answered and the total duration of the interviews.
Table 34 - General characteristics of the interviews
No. of UAs/firm (Fn) No. of participants
per Hierarchy
Questions Idioms
UA(n) F1 F2 F3 F4 Top
Mang.
Middle
Mang.
No. Time
(min.)
Interview/
Transcription
Retroversion
F(n) 2 2 2 1 4 3
PT PT-EN
UA1 x X 10 25
UA2 X X 12 39
UA3 X X 8 39
UA4 X X 10 65
UA5 X X 9 52
UA6 X X 12 37
UA7 X X 9 36
Aggregate 70 293 PT EN
Source: Own elaboration
The order of the application of the interviews is identified in Table 8, according to the participants´
availability. Each UA was transcribed in Portuguese (PT) language and translated into English (EN)
language. In total seven UAs were investigated, corresponding to the same number of participants, as
each vis-à-vis unit of observation encountered a single participant. The average contribution per
interviewee comprises the responses to ten questions in a total time of 42 minutes. The participants
occupy managerial positions at top and middle management levels. The hierarchical range of
interviewees varied from the Chief Executive Officer (CEO) to the Head Account Manager for
International Markets, and their functions restricted to the functional areas of the Board of Directors,
the Finance Department, and the Marketing and Sales Department. The variation observed in the
questions complies with an adaptation to the design of the interview guide, as explained in subsection
3.6.1 Interview Method, as the data collection method applied contains variations (to the interview
guide) to allow a further in-depth approach towards the achievement of the point of saturation of data.
The interviewees´ profiles are shown below (Table 35) because the demographic profile of the sample
accounts for the data on each individual with regard to gender, age, education level and seniority in
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the firm. The level of hierarchy in the organizational structures is shown in Table 35, while the
identification of the participants is addressed in Table 9, at subsection 3.5.5.3 Units of Analysis.
Table 35 - Demographic Profile of Participants (Pn)
Gender Age group Seniority Education
F(n) M F 35-45 45-55 55-65 <10 ≥10 ≤20 >20 Level Type
F1
F2
F3
F4
2 - - 1 1 - 1 1 Bac. degree B. Administ.
2 - - 1 1 - 1 1 Bac. degree Eng.; Law
2 - - 2 - - - 2 Bac. degree Engineering
1 - 1 - - 1 - - Bac. degree B. Administ.
Source: Own elaboration
Some commonalities are recognized in the profile of the participants. First, in gender, as it is
acknowledged that they are all male. Second the age level accounts for a mean of 50,43 years.
Likewise, the seniority registers an average rate of 20 years of permanence at the company (average
starting year of 1997). All possess higher education at the bachelor degree, within three fields,
business administration, engineering, and law. Therefore, a rhetorical assumption may be raised
regarding the link of the profile of the participant and the importance of their profile for the collection
of thorough and assertive information. It may be argued that general profile of the participant, which
demonstrates the combination of higher education, high seniority, and high responsibility at
middle/top-level positions may be decisive for attaining the saturation point of information required
to comprehend the IPPFs.
The profiles of the participants are derived from the application of demographic profiling
questionnaires, complementarily to the interview guide (Appendix 1) and the interviews agreement
forms.
4.2.2. Empirical model – IPPF Testing
The collected data was manipulated according the coding system, through the usage of a CAQDA
software (Atlas.Ti version 8). The manipulation process implied the articulation of numerous
elements: First the transcripts (stored in word document format files), especially, the retroversion PT-
EN part of the text; second the structure of this thesis, encompassing the aims, research questions and
propositions underlying this research design. The codification system was used as a methodological
tool that was applied according to the theoretical framework that followed. Here, we focused on the
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coding units and frames because our data are CAQDA manipulated and other elements are accounted
for, one QDA project and seven hermeneutic units (HUs) which were generated from each transcript,
with the equivalent of one HU per UA. The codifiable parts of the text became the quotations in the
codification system, which were codified according to the coding units of the Appendix 2. The
connection between the codes and the quotations (as interviewees’ codifiable content) is obtained
through a set of relations and rules of the coding links and hyperlinks that are, thororoughly explained
in the coding system guidebook (Appendix 2). These connections follow our assumptions, such as,
the rhetorical assumption that the verbal language used by the participants is a sign system that
contains two components: the signifiers (information passed by the participants) and signifieds (parts
of the language from participants - quotations - codified by the outsider researcher.
The data manipulation process allowed the empirical testing of propositions (Pr1-Pr6) in order to
address the RQs (RQ1-RQ6) and subsequently answer the research aims (A1-A6) according to the
empirical testing model, represented below in the semantic diagrammatic network (Figure 33), with
an orthogonal-tree shape.
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Figure 33- Empirical model of the IPPF Testing
Source: Own elaboration
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Figure 33 exhibits a dependency logic between the constructs applying the activity-on-node (A-o-N)
method (Maylor, 2010). The colored nodes indicate that the phenomenon is positively observed in
the transcripts and it contains first-order codes. Each color belongs to a distinctive theoretical family.
The blue, red and yellow nodes determine, respectively, that the constructs belong to different
dimensions of analysis (U-model, DC and OP) as identified in the codification system (CS)
guidebook.
All the links between nodes are composed of both signs and arrows. The signs indicate the nature of
the relations (R) between these nodes. The arrows expose the directionality of the interdependence of
the nodes. The symbology of the relationships between the nodes in CAQDA applied in the empirical
model is described below:
Table 36 - Coding relations symbology
Name R symbology
Identification Description Symbol No.
Contradicts symmetric Contrary argumentation or advocacy of
concepts at the same abstrational level
< > 0
Is a transitive The ISA relation links specific concepts to
general concepts
isa 32
Is a property of asymetric A meta relation between a concept and its
attributes
Ipo/*) 21
Is associated with symmetric Relates concepts without subsumption. = = 8
Is a cause of transitive Used for representing causal links,
processes, and other heuristic representation
forms
= > 9
Is opposite of asymmetric Incompatible rationale between attributes,
and/or constructs
Is op of 1
Is part of Transitive The part-of relation links objects, not
concepts of different abstractional level (as
does ISA)
[ ] 4
Source: Own elaboration
The symmetric type of relations indicate a unidirectionality of the code links and hyperlinks, and the
asymetric a bidirecionality, while the transitive relations denote a cause-of relation. No intransitive
relations were pinpointed.
The second-order analysis unfolds three different families of main codes (dimensions): the DC
(dynamic capabilities), the UM (U-model) and the OP (Other paradigms), which account for 3 themes
in the dimension DC, 2 themes in dimensions (UM) and 5 themes in dimension OP.
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These themes correspond to aggregative sub-families of concepts within each dimension, as explained
in the coding system in appendix 2. The DC dimension (and respective themes), account 25 coding
units, while the OP 23 and the UM 13, as indicated in Appendix 2. The coding units are string
variables because the content relates to text or theoretical constructs manipulated through the usage
of qualitative data.
The semantic diagrammatic networks below expose the aggregate of each one, while accounting for
the first-order codes, and exhibit in parallel the phenomena observed in the first-order according to
the informant-centric insights (Figures 23, 24 and 25).
The non-colored (or white) nodes correspond to components of the research paradigm that are not
codified within the three dimensions above mentioned (DC, UM and OP), taking into it, for example
the node of ordinary capabilities. It is shown as one element in Figure 34, although
operational/ordinary capabilities are zero-order capabilities that do not belong to the DC – dynamic
capabilities dimension and are therefore not included in the inventory of references of coding units.
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Figure 34 - 2nd-order coding of dynamic capabilities (F1-F4)
Source: Own elaboration
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Figure 35 - 2nd-Order Coding - U-Model (F1-F4)
Source: Own elaboration
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Figure 36 - 2nd-order coding - Other Paradigms (F1-F4)
Source: Own elaboration
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Figure 37 - GDCs and DIC (Dynamic Internationalization Capabilities)
Source: Own elaboration
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Figures 34, 35 and 36 exhibit a holistic semantic diagrammatic representation of the coded quotations
at the first and second-order coding levels of all the partaking firms. Therefore, an aggregated network
does not encompass the specificities of each firm and the relations across the three coding dimensions
(DC, UM, and OP). For this purpose, the methodology will proceed in subsection 4.2.3. with a
separate analysis per firm.
4.2.3. Primary QDA Results
For delivering the primary QDA results, it should be refered that the manuscripts were object to
manipulation, identifying the codifiable quotations with the informed insghts of the participant that
match the first-order codes and then these codes were applied to a second-order coding process of the
researcher, where these initial codes are matched to the dimensions and themes of the constructs,
identified by the literature review. The tools for exposing the QDA results comprise the frequencies
of codified quotations, the rastreability of the coding links and hyperlinks, the semantic diagrammatic
networks, and the crosstabulation of co-occurrences in the Cooc matrices. Together these will allow
the patterns of intra-construct and intra-coding to be traced. Although, for the second-order coding to
occur, the first-order coding is organized into second-order coding categories - themes and
dimensions - as exhibited in Appendix 2. The tables of frequencies indicate both the word clouding
technique, but also the relative results of the quotations. The word clouding presupposes a prior
identification of keywords. The keywords utilized are the ones that compose the coding units of the
coding system. However, it should be noted that the results of word clouding are deprived of
sensemaking per se because are not contextualized in quotations, therefore, they do not allow for a
sense-making of the informant-centric content (Gioia, Corley and Hamilton, 2013). As the crosstab
(see Table 17) comprises the two tools (word clouding and the quotations query), it is also divided
per partaking firm (Fn).
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Table 37 - Cross tabulation - 1st and 2nd order coding (Dimensions)
Firms
Word Cloud(s) Quotations
Query
F(x)/d d/∑Q
(criteria = c.unit)[1] (%))[2] (c. unit/dimension) (%)[2] [3]
F1
DC 303 53,35% 264 29,04% 14,72%
UM 272 51,32% 148 30,77% 8,50%
OP 223 49,56% 104 25,74% 5,80%
F2
DC 119 20,95% 218 23,98% 12,15%
UM 124 23,40% 89 18,50% 4,96%
OP 105 23,33% 101 25,00% 5,63%
F3
DC 109 19,19% 354 38,94% 19,73%
UM 90 16,98% 196 40,75% 10,93%
OP 89 19,78% 136 33,66% 7,58%
F4
DC 37 6,51% 73 8,03% 4,07%
UM 44 8,30% 48 9,98% 2,68%
OP 33 7,33% 63 15,59% 3,51%
Overall
DC
UM
OP
568
530
450
-
-
-
909
481
404
-
-
-
Source: Own elaboration
( [1] The criteria for word clouding is the use of first-order codes´ name contains in the coding rules (Appendix 2); [2]
Represents the figures of the firm per dimension (d) over the aggregate result (F1-F4) within the dimension; [3] relative
weight of the dimension on the overall quotations (Q)).
The figures in F4 are generally lower both in word clouding and at the quotation query as the firm
accounted uniquely for a unit of analysis (UA7) of the participant P7. The world clouding
demonstrates a partial decontextualization of the word counters in relation to the quotations. The
percentages vary randomly when the words are crunched into the queries of quotations, demonstrating
an arbitrary pattern of variation of word cloud percentages towards quotations frequencies per
dimension, justified as mentioned above due to the lack of a context (sense-making) on how the
participants utilize the words. A thorough approach to the word clouding technique is exhibited in
Appendix 4, where the word crunching decomposed into dimensions per firm is presented (Table 45).
Contrarily to F4 it is observed that the transcripts of UA5 and UA6 corresponding to the F3 case,
were the ones who contained a larger number of quotations (38.24% of the total figure), which
indicates that a larger volume of information was codified due to its adherence to the first-order codes
indicated in the coding rules. This emphasizes a higher yield of information from the participation of
interviewees. Moreover, a pattern is definitely observed in the quotations per case. The second larger
contributor is F1 with 28,77%, which indicates that two cases F1 and F3 (comprising the UAs, UA1,
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U2, U5 and UA6) contributed with two thirds of the overall amount of codified data. Most peculiar
is the fact that these two cases are the ones where the two CEOs were interviewed. Therefore, based
on an epistemological assumption of the researcher the collection of data suggests that it may have
reached its saturation point.
In table 35 (above), apart from the perception of the quantitative contribution of the UAs/firms to the
overall collection of codifiable content, these quite accentuated features are shown. The UM is high
on F3 (0,407484407), opposing to F2 ( 0,185031185) and F4 (0,0997921), which illustrates the
dependence of the firms with regard to the phenomena of comprised gradualistic internationalization.
The DC is high in F1 (0,247525) and F3 (0,260726), as opposed to F4 (0,073707).
Tables 39, 40 and 41, show a similar procedure of disaggregation of whole quotations (in the
transcripts) into dimensions and themes, such as we did for the word clouding in Table 45 in Appendix
4. Although, the quotations (unlike the word clouds) are manipulated within a sense-making
framework, where all coding categories are used (of the coding system in Appendix 2) to generate a
first-order codification and pull up the previous one into second-order results. The word clouding is
applied to isolated words; however we combined it with a stemming data analysis of the word
clouding to broaden the span of results, therefore we used the truncation of words. This truncation
focussed on the elimination of variations in words, such as grammatical morphemes (affixes –
prefixes and suffixes) and the quantitative flexion (singular/plural) and the stemming data serach and
subsequent analysis was centered on the core parts of the truncated substantantives. The results of our
analysis of the quotations account for the number of observations (n) and deliver the relative
frequency of dimensions and themes (f) and the frequency (of themes) within the dimension (f ´).
The aggregation of codes into dimensions reflects the interviewees’ stimuli in the three dimensions
of theorizations: the U-model (UM), the dynamic capabilities (DC), and the other paradigms (OP)
observed in the IPPF. The first two dimensions were addressed in the first and second chapters of this
thesis. The other paradigm (OP) dimension, which was registered in the transcripts, aggregates all the
phenomena observed that do not fit the DC and/or UM and are consistent with other theorizations.
Thus, the empirical testing of the constructs from the literature review conducted as addressed in
chapters one and two, are here demonstrated according to the results of the OP in Chapter 5. Findings
because as these phenomena are contextualized within adequate literature to portray the adherence of
the firm to a particular phenomenon.
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Table 38 - Summary of Quotations (Q) - F(x), HE and n
Source: Own elaboration
([1] represents: ∑ (F1-F4); [2] accounts seven Hermeneutic Units; [3] indicates the number of pages of the
transcriptions that were effectively codified (51 pages out of 102) as the remaining ones were in PT)
Before providing an in-depth overview of the primary data that focusses on the content of the codified
quotations, the general figures of the codification process with the seven hermeneutical units will be
addressed. The seven interviews generated an equal number of transcriptions, which account for 102
pages of text (51 for the original transcription and 51 for its retroversion PT-EN). Each transcript (T)
contains on average 7,29 pages of original/translated data (14, 57 pages in total per transcript). The
application of the coding process was particularly penetrating, as the interviews revealed a density of
codifiable content with a large quantity of chunks of text, sentences, and paragraphs that
simultaneously matched one or several coding units. The result of the coding process is the
codification of 35.18 observations per page, per HU, as indicated in Table 38. The relative frequencies
of the aggregative dimensions and themes are then presented in Table 39. The table exhibits the
relative frequency of themes within their dimensions (f ´) and each dimension within the overall of
dimension (f). Tables 40, 41 and 42 exhibit the figures of the relative frequencies per coding units
(f ´) and the relative frequencies of the themes within its dimension (f).
Aggregate[1] Q/F(x) Q/HE[2] Q/Page/HE n[3]
Quotations 1794 448,5 256,29 35,18 51
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Table 39 – Cross tabulation - 1st and 2nd order coding (Dimensions and Themes)
Source: Own elaboration
(n represents the numbers of observed quotations, f´´the relative frequency of the themes in its dimension, the f the relative frequency of among the observations N)
Categories
F1 F2 F3 F4 F1-F4
n f ´ f n f ´ f n f ´ F n f ´ f n f´ f
DC 264 - 51,16%
218 - 53,43%
354 - 51,60%
73 - 39,67%
909 - 50,67%
DC - ELC 208 78,79% 40,31% 201 92,20% 49,26% 256 72,32% 37,32% 58 79,45% 31,52% 723 79,54% 40,30%
DC-GDC 38 14,39% 7,36% 17 7,80% 4,17% 70 19,77% 10,20% 15 20,55% 8,15% 140 15,40% 7,80%
DC- ILC 18 6,827% 3,49% 0 0,00% 0,00% 28 7,91% 4,08% 0 0,00% 0,00% 46 5,06% 2,56%
OP 104 - 20,16% 101 - 24,75% 136
- 19,83% 63 - 34,24% 404 - 22,52%
OP-BLS 27 25,96% 5,21%
21 20,79% 5,15%
40 29,41% 5,83%
19 30,16% 10,33%
107 26,49% 5,96%
OP-CD 68 65,38% 13,18% 62 61,39% 15,20% 61 44,85% 8,89% 31 49,21% 16,85% 222 54,95% 12,37%
OP-CLS 1 0,96% 0,19% 0 0,00% 0,00% 0 0,00% 0,00% 0 0,00% 0,00% 1 0,25% 0,06%
OP-CS 0 0,00% 0,00% 9 8,91% 2,21% 10 7,35% 1,46% 3 4,76% 1,63% 22 5,45% 1,23%
OP-EE 8 7,69% 1,55%
9 8,91% 2,21% 25 18,38% 3,64%
10 15,87% 5,43%
52 12,87% 2,90%
UM 148 - 28,68% 89 - 21,81% 196
- 28,57% 48 - 26,09% 481 - 26,81%
UM-DM 83 56,08% 16,09%
58 65,17% 14,22% 145 73,98% 21,14%
15 31,25% 8,15%
301 62,58% 16,78%
UM-OM 65 43,92% 12,60% 31 34,83% 7,60% 51 26,02% 7,43% 33 68,75% 17,93% 180 37,42% 10,03%
Total (N) 516 - 100% 408 - 100% 686
- 100% 184 - 100% 1794 - 100%
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Table 40 – Frequencies of 1st-Order Coding (Concepts) – the Dynamic capabilities (DC) dimension
Category F1 F2 F3 F4 F1-F4
n f ´ f n f ´ f n f ´ f n f ´ f n f ´ f
DC – ELC 225 - 71,66% 124 - 85,52% 237 - 64,40% 67 - 81,71% 653 - 71,84%
DC - AC 0 0,00% 0,00% 0 0,00% 0,00% 10 4,22% 2,72% 0 0,00% 0,00% 10 1,53% 1,10%
DC - AdC 8 3,56% 2,55% 12 9,68% 8,28% 6 2,53% 1,63% 7 10,45% 8,54% 33 5,05% 3,63%
DC-AMC 34 15,11% 10,83% 6 4,84% 4,14% 25 10,55% 6,79% 0 0,00% 0,00% 65 9,95% 7,15%
DC-CC 10 4,44% 3,18% 0 0,00% 0,00% 14 5,91% 3,80% 0 0,00% 0,00% 24 3,68% 2,64%
DC-EC 6 2,67% 1,91% 4 3,23% 2,76% 0 0,00% 0,00% 0 0,00% 0,00% 10 1,53% 1,10%
DC – EPC 6 2,67% 1,91% 0 0,00% 0,00% 0 0,00% 0,00% 3 4,48% 3,66% 9 1,38% 0,99%
DC-ELC 49 21,78% 15,61% 20 16,13% 13,79% 21 8,86% 5,71% 12 17,91% 14,63% 121 18,53% 13,31%
DC-I/P 3 1,33% 0,96% 0 0,00% 0,00% 0 0,00% 0,00% 0 0,00% 0,00% 3 0,46% 0,33%
DC-InoC 8 3,56% 2,55% 5 4,03% 3,45% 16 6,75% 4,35% 9 13,43% 10,98% 38 5,82% 4,18%
DC-IntC 4 1,78% 1,27% 0 0,00% 0,00% 14 5,91% 3,80% 0 0,00% 0,00% 18 2,76% 1,98%
DC-IC 8 3,56% 2,55% 5 4,03% 3,45% 20 8,44% 5,43% 9 13,43% 10,98% 42 6,43% 4,62%
DC-KC 9 4,00% 2,87% 18 14,52% 12,41% 3 1,27% 0,82% 0 0,00% 0,00% 30 4,59% 3,30%
DC-KR 0 0,00% 0,00% 0 0,00% 0,00% 3 1,27% 0,82% 0 0,00% 0,00% 3 0,46% 0,33%
DC-KU 9 4,00% 2,87% 12 9,68% 8,28% 3 1,27% 0,82% 0 0,00% 0,00% 24 3,68% 2,64%
DC-Le 0 0,00% 0,00% 0 0,00% 0,00% 3 1,27% 0,82% 0 0,00% 0,00% 3 0,46% 0,33%
DC-MaC 23 10,22% 7,32% 12 9,68% 8,28% 21 8,86% 5,71% 9 13,43% 10,98% 84 12,86% 9,24%
DC-NC 20 8,89% 6,37% 0 0,00% 0,00% 45 18,99% 12,23% 3 4,48% 3,66% 68 10,41% 7,48%
DC-PDC 22 9,78% 7,01% 14 11,29% 9,66% 13 5,49% 3,53% 10 14,93% 12,20% 59 9,04% 6,49%
DC- R&D 6 2,67% 1,91% 16 12,90% 11,03% 20 8,44% 5,43% 5 7,46% 6,10% 47 7,20% 5,17%
DC-GDC 38 - 12,10% 17 - 11,72% 71 - 19,29% 15 - 18,29% 141 - 15,51%
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GDC 38 100,00% 12,10% 17 100,00% 11,72% 71 100,00% 19,29% 15 100,00% 18,29% 141 0,06% 15,51%
DC – ILC 51 - 16,24% 4 - 2,76% 60 - 16,30% 0 - 0,00% 115 - 12,65%
DC-CC 10 19,61% 3,18% 0 0,00% 0,00% 14 23,33% 3,80% 0 - 0,00% 24 20,87% 2,64%
DC-ILC 33 64,71% 10,51% 4 100,00% 2,76% 32 53,33% 8,70% 0 - 0,00% 69 60,00% 7,59%
DC-MC 8 15,69% 2,55% 0 0,00% 0,00% 14 23,33% 3,80% 0 - 0,00% 22 19,13% 2,42%
Total (N) 314 - 100% 145 - 100% 406 - 100,00% 82 - 100% 909 - 100%
Source: Own elaboration
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Table 41 – Frequencies of 1st-Order Coding (Concepts) – The Other Paradigms (OP) dimensions
Category F1 F2 F3 F4 F1-F4
N f ´ f n f ´ F n f ´ f N f ´ f n f ´ f
OP– BLS 21 - 19,63% 11 - 9,40% 28 - 21,05% 7 - 9,59% 67 - 16,58%
BLS 2 9,52% 1,87% 6 54,55% 5,13% 21 75,00% 15,79% 3 42,86% 4,11% 53 79,10% 13,12%
BLS-C 3 14,29% 2,80% 3 27,27% 2,56% 0 0,00% 0,00% 0 0,00% 0,00% 15 22,39% 3,71%
BLS-MaS 13 61,90% 12,15% 0 0,00% 0,00% 5 17,86% 3,76% 0 0,00% 0,00% 24 35,82% 5,94%
BLS-MuS 0 0,00% 0,00% 2 18,18% 1,71% 2 7,14% 1,50% 4 57,14% 5,48% 8 11,94% 1,98%
BLS-O 3 14,29% 2,80% 0 0,00% 0,00% 0 0,00% 0,00% 0 0,00% 0,00% 5 7,46% 1,24%
OP/CD 66 - 61,68% 88 - 75,21% 66 - 49,62% 55 - 75,34% 275 - 68,07%
CCO 8 12,12% 7,48% 6 6,82% 5,13% 8 12,12% 6,02% 0 0,00% 0,00% 23 8,36% 5,69%
CC-TC 4 6,06% 3,74% 6 6,82% 5,13% 7 10,61% 5,26% 0 0,00% 0,00% 18 6,55% 4,46%
CD 9 13,64% 8,41% 14 15,91% 11,97% 8 12,12% 6,02% 3 5,45% 4,11% 36 13,09% 8,91%
CD-CG 4 6,06% 3,74% 3 3,41% 2,56% 0 0,00% 0,00% 7 12,73% 9,59% 25 9,09% 6,19%
CD-CPC 17 25,76% 15,89% 18 20,45% 15,38% 4 6,06% 3,01% 4 7,27% 5,48% 44 16,00% 10,89%
CD-MC 9 13,64% 8,41% 5 5,68% 4,27% 2 3,03% 1,50% 0 0,00% 0,00% 16 5,82% 3,96%
CD-MS 2 3,03% 1,87% 8 9,09% 6,84% 0 0,00% 0,00% 10 18,18% 13,70% 22 8,00% 5,45%
CD-MG/D 0 0,00% 0,00% 3 3,41% 2,56% 23 34,85% 17,29% 2 3,64% 2,74% 30 10,91% 7,43%
CD-NCAD 1 1,52% 0,93% 4 4,55% 3,42% 5 7,58% 3,76% 7 12,73% 9,59% 17 6,18% 4,21%
CD-OS 3 4,55% 2,80% 4 4,55% 3,42% 2 3,03% 1,50% 10 18,18% 13,70% 29 10,55% 7,18%
CD-Po 9 13,64% 8,41% 17 19,32% 14,53% 7 10,61% 5,26% 12 21,82% 16,44% 45 16,36% 11,14%
OP-CS 0 - 0,00% 9 - 7,69% 10 - 7,52% 3 - 4,11% 22 - 5,45%
CS 0 - 0,00% 9 100,00% 7,69% 10 100,00% 7,52% 3 100,00% 4,11% 22 100,00% 5,45%
OP/CLS 4 - 3,74% 0 - 0,00% 0 - 0,00% 0 - 0,00% 4 - 0,99%
CLS-CG 4 100,00% 3,74% 0 - 0,00% 0 - 0,00% 0 - 0,00% 4 100,00% 0,99%
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OP-EEA 16 - 14,95% 9 - 7,69% 29 - 21,80% 8 - 10,96% 62 - 15,35%
EEA-AF 4 25,00% 3,74% 0 0,00% 0,00% 4 13,79% 3,01% 0 0,00% 0,00% 8 12,90% 1,98%
EEA-CF 1 6,25% 0,93% 4 44,44% 3,42% 7 24,14% 5,26% 0 0,00% 0,00% 12 150,00% 2,97%
EEA-EF 0 0,00% 0,00% 3 33,33% 2,56% 9 31,03% 6,77% 0 0,00% 0,00% 12 100,00% 2,97%
EEA-EnF 3 18,75% 2,80% 0 0,00% 0,00% 3 10,34% 2,26% 1 12,50% 1,37% 7 58,33% 1,73%
EEA-GF 0 0,00% 0,00% 0 0,00% 0,00% 0 0,00% 0,00% 4 50,00% 5,48% 4 57,14% 0,99%
EEA-LF 4 25,00% 3,74% 2 22,22% 1,71% 2 6,90% 1,50% 0 0,00% 0,00% 8 200,00% 1,98%
EEA-PF 4 25,00% 3,74% 0 0,00% 0,00% 2 6,90% 1,50% 3 37,50% 4,11% 9 112,50% 2,23%
EEA-SF 0 0,00% 0,00% 0 0,00% 0,00% 2 6,90% 1,50% 0 0,00% 0,00% 2 22,22% 0,50%
Total (N) 107 - 100% 117 - 100% 133 - 100% 73 - 100% 404 - 100%
Source: Own elaboration
(n represents the numbers of observed quotations, f´´the relative frequency of the themes in its dimension, the f the relative frequency of among the observations N)
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Table 42 - Frequencies of 1st-Order Coding (Concepts) – U-Model (UM) dimensions
Category F1 F2 F3 F4 F1 - F4
n f ´ f n f ´ f n f ´ f n f ´ f n f ´ f
UM– DM 89 - 57,79% 64 - 67,37% 140 - 75,27% 15 - 30,61% 308 - 85,93%
UM-AC 0 0,00% 0,00% 0 0,00% 0,00% 10 7,14% 5,38% 0 0,00% 0,00% 10 3,48% 2,99%
UM-BN 17 19,10% 11,04% 19 29,69% 20,00% 46 32,86% 24,73% 0 0,00% 0,00% 64 22,30% 19,16%
UM-NP 21 23,60% 13,64% 0 0,00% 0,00% 19 13,57% 10,22% 3 20,00% 6,12% 43 14,98% 12,87%
UM-OD 23 25,84% 14,94% 31 48,44% 32,63% 29 20,71% 15,59% 12 80,00% 24,49% 93 32,40% 27,84%
UM-PD 0 0,00% 0,00% 0 0,00% 0,00% 4 2,86% 2,15% 0 0,00% 0,00% 3 1,05% 0,90%
UM-RM/TB 28 31,46% 18,18% 14 21,88% 14,74% 32 22,86% 17,20% 0 0,00% 0,00% 74 25,78% 22,16%
UM – OM 65 - 42,21% 31 - 32,63% 46 - 24,73% 34 - 69,39% 176 - 52,69%
UM-GD 10 15,38% 6,49% 6 19,35% 6,32% 11 23,91% 5,91% 13 38,24% 26,53% 40 22,73% 11,98%
UM - GI 6 9,23% 3,90% 0 0,00% 0,00% 11 23,91% 5,91% 5 14,71% 10,20% 22 12,50% 6,59%
UM-MCM 9 13,85% 5,84% 6 19,35% 6,32% 0 0,00% 0,00% 0 0,00% 0,00% 15 8,52% 4,49%
UM-MKM 21 32,31% 13,64% 6 19,35% 6,32% 5 10,87% 2,69% 4 11,76% 8,16% 36 20,45% 10,78%
UM-PDF 1 1,54% 0,65% 0 0,00% 0,00% 11 23,91% 5,91% 4 11,76% 8,16% 16 9,09% 4,79%
UM - RA 18 27,69% 11,69% 13 41,94% 13,68% 8 17,39% 4,30% 8 23,53% 16,33% 47 26,70% 14,07%
Total (N) 154 - 100% 95 - 100% 186 - 100% 49 - 100% 484 - 100%
Source: Own elaboration
(n represents the numbers of observed quotations, f´´the relative frequency of the themes in its dimension, the f the relative frequency of among the observations N)
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Table 38, shows that the DC dimension accounts for 50.95% of all quotations while its coding units
(25) represent 40.98% of the first-order codes, which is symptomatic of the demonstration of
organizational capabilities (OCs). Second, the DC-ELC theme assumes a vast majority of the results,
which is an indicator that most DCs are not cloistered in a single individual, but are instead
systematized DCs spread along the firm throughout different areas and stakeholders. It is noteworthy
that the F3 and F1 cases account, respectively, in DC-ELC theme 36.29% and 34.46% of all DCs.
Conversely, the GDCs (codified as a theme as DC/GDCs) do account for more than 10.23%, which
demonstrates that the DCs were also GDCs in less than 1/7th of the overall total in the participants
speech. However, we do not intend to claim this is as a GDC ratio (Fx), but instead, recognize the
(positive) perception of transferability proprieties of the DCs as they manifested their usage in other
markets and subsidiaries. This result is consistent with our research aims (not the GDC ratios).
The OP dimension observes a contrary pattern (Table 39). The OP related coding units represent
37.70% of all codes, though the codification of the OP dimension accounts for 22,52% of all coded
quotations. This indicates that more than three-quarters of the codes fit the UM and DC dimensions.
Thus, it is argued that the focus on these bodies of theory (U-Model and DCT) were amply justified,
corresponding to the background description and its problematization (in chapter one). Nevertheless,
the lower codification of this dimension does not inhibit the observation of five different themes,
related with business-level strategies (codified as OP-BLS), industry competition (OP-CD),
cooperation strategies (OP-CS), corporate-level strategies (OP-CLS) and (macro) external
environment analysis (OP-EEA). The OP-CD accounts for two-thirds of all codes within the
dimension (68,07%) and the OP-BLS and OP-EEA, respectively, for 16,58% and 15,35%. This means
that the industry competition issues are very relevant for the participants, deducing that there is a
mindset for business navigation through red oceans (Kim and Maugborne, 2011). These phenomena
are marked in F2, which account for 88 observations/quotations of OP-CD, corresponding to 32% of
all participants concerns about the competition in the industry. The UM dimension accounts for
21.31% of the total coding units (61) exhibiting 26.98% of the total codification at the first-order
level. This is leveraged by the UM-DM theme which registers 63.64% of all (UM) dimensions, and
most particularly, to the UM-OD driver (registering 27.84% of the whole UM; and 32.40% of the
UM-DM) and UM-BN (with 19.16% of the UM; and 22.30%). However, it should be noted that the
UM-RA phenomenon (in the UM-OM theme) was the third most quoted (with 14.07% of the total
UM, and 26,70% of the UM-OM theme). The coding links and hyperlinks demonstrate the following
iterative relations (Figure 38, 39 and 40).
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Figure 38 – Structure of Links and Hyperlinks (DC/UM)
Coding Units
UM
AC BN GD GdI MC MK NP OD OL PD PDF RA RM-
TB
DC-AC . . .
DC-AdC
. . .
DC-AMC . . . . .
. .
DC-CC . . . .
DC-EC .
.
DC-EPC . .
DC-I/P
DC-InoC .
DC-IntC
.
DC-KC . .
DC-KR
.
DC-KU . . . .
. .
DC-LC
DC-Le
DC-MC . . .
DC-MkC . . . . . . . .
DC-NC . . . . . . .
DC-PDC . . .
DC-RC
DC-RwC
DC-R&DC . . . . .
DC/ELC . . . . .
DC/GDC . . . . . .
DC-ILC . . . . . . .
DC/Mu . . .
DC/T . .
DC/T-HQ-S . .
DC/T-S-S . .
DC/T-S-HQ . .
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Figure 39 – Structure of Links and Hyperlinks (DC/OP)
Coding Units OP
C BLS MuS CCO TC CD MS MG/D OS Po CPC CS AF CF LF
DC-AC
DC-AdC . . . . . . .
DC-AMC . . . .
DC-CC . . .
DC-EC .
DC-EPC
DC-I/P
DC-InoC . . . . .
DC-IntC .
DC-KC
DC-KR
DC-KU . . .
DC-LC
DC-Le
DC-MC .
DC-MkC . .
DC-NC . . . . .
DC-PDC . . . .
DC-RC
DC-RwC
DC-R&DC . . . .
DC/ELC . . . . . . . . .
DC/GDC . . . . . . .
DC-ILC . .
DC/Mu
DC/T Source: Own elaboration
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Figure 40 – Structure of Links and Hyperlinks (OP/UM)
Coding Units UM
BN GD GdI MK NP OD OL PDF RA RM/TB
C . .
BLS . . . . . . . .
BLS-MaS . .
CD/CCO . . . .
CD-TC . . .
CD . . .
CD-CPC . . .
CD/CG . . .
CD/MS . . . .
CD-MG/D . . . . . . . .
CD-OS . . .
CD-Po . . . .
CS . . . .
EE-CF . . . .
EE-EcF . . .
EE-LF . Source: Own elaboration
The dot (.) exposes the link (quotation-quotation) of the first-order coding units and underlies the
hyperlink (quotation-code) between first-and and second-order coding. The continuous line (-)
indicates that the neighbor constructs in the crosstab are linked and the descontinuos line (- -)
unlinked. These dots uncover the phenomenon of the co-existence of the constructs in the same
quotation, which indicates that the codified content, received in numerous cases more than one
codification. Although the analysis of the links and hyperlinks does not explain the co-occurrence
figures, and in order to do so, a co-occurrence (Cooc) matrix is used.
The results of the Cooc matrices (Table 51, 52 and 53) are aggregated results that make the intention
to give a holistic perspective of the repetitions within quotations evident. Second, its figures are not
indicative of the total number of quotations per construct (as presented in Tables 34 and 35). Instead,
these merely accounts for the repetition of each phenomenon. Third, the matrices uniquely use first
order codes due to the fact, that a second-order coding requires an hyperlink between quotations and
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codes (which are pulled into dimensions and themes) that is not dependent on the participants´
contributions, but dependent on the data interpretation of the researcher and is classified according to
the bodies of theory previously analyzed.
The crosstabs of Cooc matrices reveal that the business-level strategies give greater importance to
risk, as they account for a high number of co-existing codes in quotations (OP/BLS and UM-RA).
Moreover, it is observed that the UM-RA is considered in OP/CD-CPC, so a risk avoidance strategy
may also be perceived in the cost and price competition of the firm, and finally, in the choice of
markets that likewise correlate to the geographical distance (UM-GD).
However, the partaking firms simultaneously seem to give high attention to NPD in their international
business strategies, because DC-PDC is highly correlated in quotations with OP-CD/Po, and the
OP/CD-Po cumulatively with DC-GDC and DC-ELC, which indicates a clear association of NPD
and the products and services portfolio in an international context.
In addition, there are also a higher number of occurrences of UM-RM/TB. The participants seem to
correlate this construct with several others in multiple quotations. The highest correlation with the
DC-AMC was demonstrated, which indicates that the alliance management capacity is intrinsically
related to the aforementioned linkage (UM-RM/TB with DC-AMC). Although, it considers that UM-
RM/TB requires UM-BN and UM-NP. Such construct relation, indicates that its success (UM-
RM/TB) is, according to the participants, dependent on the ability of the business networking of the
firm to manage its position within the network. In an IB context, this means that it is critical to avoid
the liability of foreignness, as it places the firm within the eventual paradigm of liability of
outsidership (Johanson and Vahlne, 2009). Moreover, it exhibits a straight relation with DC-ILC and
DC-ELC, especially DC-NC, DC-MkC and DC-GDC. This implies a perception that the UM-RM/TB
is critical to possess individual capabilities and develop business systems that may be a facilitator of
the international operations. In chapter five (findings) we will proceed with an analysis per case (Fx)
of the Cooc matrices results.
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4.3. Triangulation - Mapping
In this section, an integrative triangulation approach attempts to increase the validity of the findings,
as the complementarity of the techniques are applied in this research (Jonsen and Jhen, 2009).
Through a cross observation of the phenomena, this research intends to grasp a comparison of the
results for mutual validation of data results among different sources.
The triangulation uniquely follows as the body of the theory contained in chapters one and two
incorporated in the methodological part. The type of triangulation performed is triadic, since it
considers the following methodological approaches: (i) secondary data interrelated with secondary
data; (ii) secondary data results compared with primary data; and (iii) multi-source primary data
results compared to each other.
The secondary data considered is the GCI and TNI indexes and the C and U ratios. The primary data
utilized is exclusively the table of frequencies of the quotations, the word clouding, the link-hyperlink
structure and the Cooc matrices. A reversed triangle of the intra-dimensional hyperlinks is exhibited
in Figure 40. The codification system and the diagrammatic networks are not hereby used: the former
because this tool is empty of data as it offers only the methodological framework for the data
collection and not the data itself. The latter, similarly, due to the fact that it only exhibits visual
representations of the semantic-based construct interrelatedness and not the figures underlying those
intra-construct relations.
First, we noticed that the GCI is devoid of explicit direct connectable content to other data sources
for an object mutual observation. However if we compare the GCIs score with the TNIs, C and U
ratios based on the GD and PD factors of the U-model, we can observe some remarkable similarities.
Taking as an example the F1 case, the pattern observed is clear. The firm operates in foreign-markets
of GCI level 3 (innovation-driven). Furthermore, this firm encounters a low and very low GD
approach, which means preference is given to markets of high proximity. In addition, F1 is the case
with the lowest TNI ratio on pair with F4 and also with the lowest market commitment ratio. Finally,
the markets in which F1 operates are the markets (within the GCI level 3) of higher geographical
proximity. Paradoxically, the F3 case registers a higher adjustment to GCI levels 2 and 3 markets
and, is the one with a higher TNI ratio, lowest dependency of the most geographically closer markets,
and is the one with the highest market commitment ratio. Despite the fact that this case accounts for
high figures in uncertainty perception and higher susceptibility to psychic distance factors. Thus, an
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internal secondary data check demonstrates some level of congruency in the results among distinct
data sources.
Following the second tier of this triangulative triadic approach, it is observed that the commitment
and TNI secondary-sourced data reveal similarities with the primary data with the Cooc matrices. If
we revisit our literature review (see chapter 1), then we notice that the risk avoidance approach
(typified in primary data as UM-RA) is intrinsically connected to the market knowledge (UM-MK)
and uncertainty perception. The UM-RA was addressed in the primary data and the U perception in
the secondary data. It is curious to observe that case F3, which is the one with the highest uncertainty
perception, also has the lowest market diversification and the most psych distance factors (UM-PDF).
Interestingly, all external markets where F3 competes are Hispanic-speaking markets.
An internal crosscheck of the primary data of the distinctive sources, cocomitantly reveal an inner
consistencty in the results and an arguable coherence. First, Figure 30 (reversed triangle) shows that
the three dimensions (DC, UM and OP) present uniquely pairwise hyperlinks (DC-UM; DC-OP; and
UM-OP) with no overlapping triple codifications. Second, an immersion into these dimensions reveal
a moderate (or high) risk perception in the four cases. If we recall the official (secondary) data
provided by the firms, such as the number of external markets, assets, employees and revenue, we
recognize the trend of their U perception ratios. Although, by uniquely considering the primary data
outputs from the Cooc matrices, we may observe that codification it concurs frequently with the risk
avoidance (UM-RA) codification at first-order coding of business-level strategies (OP-BLS and/or
OP/BLS) among all cases. Moreover, a pattern can be observed of cross coding between market
knowledge coding (DC-MK). What notheworthy is as referred to above, that this code also relates to
risk, with both alliance management (DC-AMC) and relation management and trust-building (UM-
RM/TB). Therefore, it is advocated as symptomatic of the necessity of uncertainty control through
the development of relationships and alliances and through (another frequently concurrent code of,
the DC-MK, which is the opportunity development (UM-OD).
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Figure 41 –Reversed triangle - Triadic dimensionality (hyperlinks)
Source: Own elaboration
( - Hyperlink of DC and UM dimensions; - Hyperlink of DC and OP dimensions; - Hyperlink of UM and OP dimensions)
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5. FINDINGS
The manipulation of primary data from the transcriptions verified that a significant amount of codified
quotations would not entirely fit within the internationalization and resource-base theories described
in chapter two. Therefore the codification system exhibited in Volume II – Appendices accounts for
a third dimension entitled OP (other paradigms), which has the purpose to agglomerate all the other
phenomena observed in the transcripts that do not match the initial dimensions (UM and DC). Our
claim for enlarging the dimensions of the codification, is that a wider spectrum of coding
encompassing a wider observation of constructs may lead to a thorough and clearer picture of the
IPPF, regarding the cases under analysis. Thus, the mismatching phenomena with the UM and DC
dimensions portraying supplementary characteristics of the internationalization of the firms were
labelled a phenomenon fitting the OP dimension and given correspondence to their respective bodies
of theory. In this section, the results of all dimensions of the primary data, plus the secondary data
and the triangulation of these data sources are analytically deduced in order to interpret the results
from chapter 4 and contextualize them in theoretical terms through a meaning system of the
information. This meaning system is demonstrated below in Figure 42.
Source: Gioia, Corley and Chttippedi (2013); Gioia and Chittipedi (1991)
Dimensions
Input
(Transcripts)
Codification
Signifiers
(Signalling
characteristic(s) of
internationalization)
Signifieds
(Connect the
characteristics of
internationalization
with theory)
Collection
(Primary Data)
first-order coding Aggregation of
signifieds
Themes
(Insider-researcher;
gatekeeper /informant)
(outsider-researcher)
Figure 42 - Meaning system of primary data
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The meaning system of primary data shown above comprises the acquisition, mining and structuring
of data. The system involves the interaction of the insider and outsider-researchers to the successful
collection of data and the achievement of the saturation point of information. The preconception of
conceptualizations and theorizations in the research field to codify pieces of data as evidence of the
characteristics of the internationalization of the firm. This phase of the codification process that
preeceds the first-order coding corresponds to the construction of the signifiers. As explained in
chapter three the signifier belongs to language signing system, where the information is connected to
to the known phenomena. Here, in this study, the phenomena are the described evidence of the
internationalization paradigm of each firm. Thus, the Saussurean sign system of the language may be
recognised as a part of the sensegiving process of the meaning system of the primary data
(Saussurean, 1957; Gioia and Chittipedi, 1991; Gioia, Corley and Chttippedi, 2013). The first-order
coding occurs with the treatment of signifiers into signifieds allowing the connection of the identified
phenomena with preconceived constructs and/or theorizations in literature, while the second-order
coding relates to the aggregation of those concepts in categories to which they belong to. For example,
a quotation is a signifier demonstrating evidence of a market selection because of the language
(Portuguese for instance), which correspond to a signified quotation adherent to the psychic distance
concept (at fist-order coding) and subsequently links to the original u-model theorization (2nd order -
theme) of the Uppsala school of internationalization (U-model) as 2nd-order dimension.
The rationale for extending the studied dimensions to the OP is that a wider spectrum of coding
encompasses a wider range of constructs, which may lead to a thorough and clearer image of the IPPF
regarding the cases under analysis. The phenomena matching the OP dimension are in this chapter
contextualized, as they are given correspondence to their respective bodies of theory. As we intent to
clarify the IPPF, a preliminary recall of the industry (Table 41), is followed by the portrait of the
partaking firms. (Table 42).
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Table 43 – General characteristics of the industry
Firm(x)
Industry
Econ. family Sector Type Tech.
Intensity
Intern. Pattern ISIC
F1 Transactional Secondary Manufacture ML Global industry (CAE Rev. 3) 24420 -
Production and
Transformation of Aluminium
F2 Transactional Secondary Manufacture ML Global industry (CAE Rev. 3) 27320 -
Manufacture of other
electrical and electronic wires
and cables
F3 Transactional Secondary Manufacture ML Global industry (CNAE C243) - Manufacture
of other first class steel
products
F4 Transactional Secondary Manufacture LT Global industry (CAE Rev. 3) 16420-
Manufacture of wooden
articles
Source: Own elaboration
(F1, F2 and F3 – code 27; F4 – code 22 for technology intensity classification - Eurostat (n.d.); high-tech (HT);
medium-high tech (MHT); medium-low tech (MLT); low-tech (LT)
We made an overall clarification of the IPPF starting with the description of the industry (Tables 19
and 20) and then a discussion of the sampled cases, and the general characteristics of the firms,
regarding their size, structure, strategies, and classification as operative unit overseas (Table 44).
Subsequently, we provide an overview of the characteristics of the international operations,
describing their approaches, strategies, coordination mechanisms, market orientation and risk
perception (Table 45). Furthermore, the paradigm of competition is described as it was observed
(Table 46), addressing the mode of competition, its strategy, and market approach and commitment,
and since the networking, cooperation and particularly, alliancing, which the firms seem to have
devoted great deal of attention, it is revealing that the alliancing models followed plus the types of
alliance and their classifications (Table 45).
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Table 44 - Internationalization Paradigms - General description of the firm (F1-F4)
Source: Own elaboration
([1] Following the recommendation of the European Commission (n.d.) (2003-361-CE) for the classification of SMEs (Small and Medium-Enterprises)
Firm Size[1] Structure Configuration CLS BLS Innovation-Model Type of firm
F1 Medium –
entreprise
(ME)
Functional structure
(Amit and Schoemaker, 1993);
Profissional burocrary
(Mintzberg, 1980; Daft,
Kendrick and Vershinina, 2010)
Low
diversification
(Volberda et.
al, 2011)
Focus on cost leadership /
differentiation (Porter,
1986a);
Open innovation (with partners);
(Chesbrough, Vanhaverbeke, and
West, 2006) NPD-orientation
(Moorman and Miner, 1998)
MNC (Bartlett and
Goshall, 1990;
Collinon, Narula and
Rugman)
F2
Medium –
entreprise
(ME)
Functional structure
(Amit and Schoemaker, 1993;
Profissional burocrary
(Mintzberg, 1980; Daft,
Kendrick and Vershinina,
2010))
Low
diversification
(Volberda et.
al, 2011)
Focus on cost leadership /
differentiation
(Porter, 1986a);
Open innovation (with partners);
(Chesbrough, Vanhaverbeke, and
West, 2006)
NPD-orientation
MNC
(Bartlett and
Goshall, 1990;
Collinon, Narula and
Rugman)
F3 Small –
Enterprise
(SE)
Functional structure
(Amit and Schoemaker, 1993);
Profissional burocrary
(Mintzberg, 1980; Daft,
Kendrick and Vershinina, 2010)
Low
diversification
(Volberda et.
al, 2011)
Focus on cost leadership /
differentiation (Porter,
1986a);
Open innovation (with partners)
(Chesbrough, Vanhaverbeke, and
West, 2006)
NPD-orientation (Moorman and
Miner, 1998)
MNC
(Bartlett and
Goshall, 1990;
Collinon, Narula and
Rugman)
F4 Small –
Enterprise
(SE)
Functional structure
(Amit and Schoemaker, 1993);
Profissional burocrary
(Mintzberg, 1980; Daft,
Kendrick and Vershinina, 2010)
Low
diversification
(Volberda et.
al, 2011)
Focus on cost leadership /
differentiation (Porter,
1986a);
Open innovation (with partners);
(Chesbrough, Vanhaverbeke and
West, 2006)
NPD-orientation
(Moorman and Miner, 1998)
Exporting-firm
(Bartlett and
Goshall, 1990;
Collinon, Narula and
Rugman)
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The cases reveal differences in their dimensions, though equivalence in its organizational structures.
First, the cases F1 and F2 are classified in their dimension as MEs while F3 and F4 are SEs. Second,
the internationalization of F1, F2 and F3 adhere to FDI mode while F4 to the international trade.
All cases fit simultaneously a Mintzbergian configuration of professional bureaucracy, because it relies
on the standardization of skills, highly specialized jobs, though minimally formalized. However, the
structure is not a pure organic or professional bureaucratic structure, as it also adjusts to the functional
type of organizational structure (Volberda et. al, 2011). Thus, the functional structure consists of a
limited vertical and horizontal decentralization, with some dominant areas being occupied by middle
line managers. This observation clearly reveals that, the four cases do not fit the simple structure
configuration of Mintzberg but the professional bureaucracy model, also perceived here as being
adapted and combined with another one. This structures configurations reveal the existence of
corporate-level strategies of low diversification, as the low diversification comprises the double
paradigm of a dominant business comprising 95% or above of the total operation or a single business
(Volberda et al., 2011). Here the case studied firm fit the single business paradigm of the corporate –
level strategies (CLS). Consequently, the business-level strategy (BLS) is a focus strategy (Porter,
1986a), according to the generic strategies framework. However, the similar strategy adopted by the
four cases, indicates a focus on cost leadership strategy, and similarly, a focus on differentitation
strategy, which indicates a paradigmatic circumstance of integration of boths strategies. Thus, the firms
do not follow a pure (generic) strategy but a hybrid strategy classified as a stuck in the middle strategy
(Porter, 1985). This hybrid strategy is clearly perceived in the quotations frequency, and Cooc matrices,
as the participants seem to give semantic attention to the UM-CPC and OP/CD phenomena. The firms
adopt an open-innovation model as the research and development activities are not singly developed
by the firm (centered in the research and development activities comprised to the labs), but instead it
enters a pipeline work which is shared internally and externally with different stakeholders and their
partners. Three firms are typical MNCs (F1, F2 and F3) and fourth an exporting-firm (Table 43). The
MNCs fit the transactional internationalization paradigm (Oviatt and McDougall, 2005).
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Table 45 - General characteristics of the International business (IB) configuration (F1-F4)
Source: Own elaboration
Firm International configuration
Approach Strategy Coordenation mechanism market orientation Strategic planning Risk perception
F1 Transactional
and investment
Transnational
(Oviatt and
McDougall, 2005;
Ghemawatt, 2008)
Centralized Hub
(Bartlett and Goshal,
1991, 1989)
Geographical proximity (Johanson
and Vahlne, 1977); Networking (Håkanson and Ford, 2002); Outsourcing (Williamson, 2008)
between Phase II
(forecast) and III Moderate
(Gluck, Kaufman,
Walleck,1980)
F2
Transactional
and investment
Transnational
(Oviatt and
McDougall, 2005;
Ghemawatt, 2008)
Centralized Hub
(Bartlett and Goshal,
1991, 1989)
Geographical proximity (Johanson
and Vahlne, 1977); Networking
(Håkanson and Ford, 2002); Outsourcing (Williamson, 2008)
Phase III
(externall-orientation) Moderate
F3
Transactional
and investment
Transnational
(Oviatt and
McDougall, 2005;
Ghemawatt, 2008)
Centralized Hub
(Bartlett and Goshal,
1991, 1989)
Psychic distance
(Johanson and Vahlne, 1977);
Networking (Håkanson and Ford,
2002); Outsourcing (Williamson,
2008); Clustering (Porter, 1988)
Phase III High
(externall-orientation)
(Gluck, Kaufman,
Walleck,1980)
F4
Transactional
Transnational
(Oviatt and
McDougall, 2005;
Ghemawatt, 2008)
Centralized Hub
(Bartlett and Goshal,
1991, 1989)
Networking (Håkanson and Ford,
2002); Clustering (Porter, 1988)
Phase III
(external-orientation) Moderate
(Gluck, Kaufman,
Walleck,1980)
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The approach in table 45 of all the partaking firms is similar; however there´s a gap between primary
and secondary data results (transcripts and TNI indexes). The first, makes makes clear the
international driver of all firms. The latter, exposes the fact that F1 is still on a phase two of strategic
planning (forecasting) as the TNI result (0,14) demonstrate an effective internal market orientation
not observed in the informants (P1 and P2) interviews (Gluck, Kaufman, Walleck, 1980). In parallel,
F2 and F4, despite in phase III (externally-oriented) reveal low scores (0,22 and 0,26) due to effective
low international investment in assets abroad employability abroad. Thus, this configures a general
scenario of a hybrid paradigmatic approach towards the markets where companies demonstrate a wide
openness to trade internationally; however, a low adherence to the FDI framework (Verbeke and
Yuan, 2010). This fact of low adherence to the FDI framework is also visible in their international
coordination systems, as all companies apply the centralized-federation model towards their corporate
governance (Bartlett and Goshal, 1991, 1989). This phenonmenon of low FDI is explained below in
chapter 6. Conclusions, where we will address the pitfalls of the Portuguese economy rooted on the
Ricardian and Smithian theories of national competition, on the concept of economic periphery and
on the Keynesian microeconomic dependency of expansionist public policies.
Secondary data exhibit also that the the partaking firms have moderate and high risk perception about
the international markets, which is corroborated by primary data from the participants´ contributions
printed in the transcripts. Since the perception of risk is moderate/high and the strategies of the firms
are congruent to their risk perception. These firms avoid risks and general uncertainity, as the firms
F1, F2 and F4 elect their host-markets according to the geographical proximity to the domestic-
market, while F3 chooses host-markets of psychic proximity giving preference to those of Spanish
and Portuguese languages in South America. Thus, is verified a GD and PD competitive orientation.
Yet, the adherence to the variable of geographical distance has a true relation to risk and uncertainity
avoidance, although is also blured has a partial spurious relation towards market choices; again
influenced by the concept of economic periphery, which is determing the companies options. As
refered above, this concept it will be depicted in chapter 6. Conclusions.
A distinctive internationalization approach of F4, is related to the low intrinsic unitary value of the
products being highly commoditizable, a fact that was signaled by the participant (P7). This fact
explains the exporting-firm classification with a portfolio of products in trailer, or leveraged by the
other firms, as members of the same corporation, which competes in the segment of equipment
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transportation of the same sector. Thus, the remaining cases externalize to F4 their packaging and
parceling shipped from the Portuguese-based production facilities. It is also curious to note that F2,
has the highest sensitivity to cost materialized in the numbers of OP/CD-CPC quotation frequencies
and word clouding, which is also the one with the highest frequency indicator in word clouding
regarding the commoditization and indicating the presence of a cost leadership strategy.
We have verified that the firms adopt a typical international business strategy, which is consistent
with a transnational strategy mode (Bartlett and Ghoshal, 1990; Harzing, 1999). The firms incorporate
an adaptation and integration proxy in their BLS; however, their adaption is only partial and therefore
they do not fit the multi-domestic strategy, but the transnational strategy instead. It is observed that
the firms combines and balance those two proxys, the level of adaptation to the host market with the
integration of organizational settings. In the literature, the integration process of NPD in the
(products) portfolio across markets is claimed to be due to the necessity to reduce the individual
complexity of each focal market (Harzing, 1999; Ghemawatt, 2008). Although, is also perceived as
a GDC (Teece and Pisano, 1994; Ambrosini, Bowan and Collier, 2009). Both perspectives are
arguable and this study does not clarify which is more common/dominant, despite both are perceived
as being capability-based strategies of BLS that focus on differentiation.
The market orientation as explained in the previous chapter by the analysis of the QDA output make
clear a dependence on the GD phenomenon on F1, and F2 and PD in F3. The market knowledge
management (UM-MK) appears to be critical for the four firms, especially the CAGE related
information in order to control uncertainty and risk (Ghemawatt, 2008). F1 and F2 revealed the
adherence to the externalization paradigm of internal activities comprised in the transactional cost
economics theory (Williamson, 2008). The traits of the international competition observed are
described bellow in Table 44.
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Table 46 –Traits of International competition (F1-F4)
Source: Own elaboration
F(x) Mode Strategy Market Approach markets commitment
F1 Solo player
(Koller,
1988)
Uncertainty-reducing
strategy
(Volberda et al., 2011);
risk avoidance (Johanson
and Vahlne, 1977);
cooperation
Path dependent - on market knowledge
(Sydow and Koch, 2009) and organizational
learning (Weerawardena et al., 2007);
Business networks (Coviello and Munro,
1995); Closed-innovation strategy (Volberda
et al., 2011); Vertical integration (Grant, 2010)
Gradualistic; (Joahnson and Vahlne, 1977); and alliance
building oriented (Eisenhardt and Martin, 2000);
opportunity development (Kirzner, 1973; Ardichvili, 2003;
exploiting advantages (Dunning, 2001), exploiting
international capabilities (Luo, 2001; Griffith and Harvey,
2001)
F2
Solo player
(Koller,
1988)
Uncertainty-reducing
strategy
(Volberda et al., 2011)
risk avoidance (Johanson
and Vahlne, 1977);
cooperation;
Path dependent - on market knowledge
(Sydow and Koch, 2009) and organizational
learning (Weerawardena et al., 2007); Closed-
innovation strategy (Volberda et al., 2011);
Vertical integration (Grant, 2010)
Gradualistic; (Joahnson and Vahlne, 1977); and alliance
building oriented (Eisenhardt and Martin, 2000);
opportunity development (Kirzner, 1973; Ardichvili, 2003;
exploiting advantages (Dunning, 2001), exploiting
international capabilities (Luo, 2001; Griffith and Harvey,
2001)
F3 Solo player
(Koller,
1988)
Uncertainty-reducing
strategy
(Volberda et al., 2011);
risk avoidance (Johanson
and Vahlne, 1977)
Centered on business networks (Coviello and
Munro, 1995); path dependent - on market
knowledge (Sydow and Koch, 2009) and
organizational learning (Weerawardena et al.,
2007); Clustering (Porter, 1988); Closed-
innovation strategy (Volberda et al., 2011);
Vertical integration (Grant, 2010)
Focused on exploiting own local advantages (Dunning,
2001) within its network position (Vahlne and Johanson,
2013); Orientation towards alliance building (Eisenhardt
and Martin, 2000); opportunity development (Kirzner,
1973; Ardichvili, 2003), exploitation of advantages
(Dunning, 2001), and exploitation international capabilities
(Luo, 2001; Griffith and Harvey, 2001)
F4 Solo player
(Johanson
and Vahlne,
2009)
Uncertainty-reducing
strategy
(Volberda et al., 2011);
risk avoidance (Johanson
and Vahlne, 1977)
Path dependent - on market knowledge
(Sydow and Koch, 2009) and organizational
learning (Weerawardena et al., 2007);
clustering (Porter, 1988); Closed-innovation
strategy (Volberda et al., 2011); Vertical
integration (Grant, 2010)
Gradualistic; (Joahnson and Vahlne, 1977); opportunity
development (Kirzner, 1973; Ardichvili, 2003; exploiting
advantages (Dunning, 2001) through the network position
(Vahlne and Johanson, 2013)
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The driver(s) of the firm to control uncertainty and avoid risk are consistent with the empirical
findings of the research from the University of Uppsala on Swedish firms conducted by Johanson
and Wiedersheim‐Paul (1975), consubstantiating a similar pattern of behavioral model) (Johanson
and Vahlne, 1977).
The four firms appear to compete disconnectly in the market although exploring economies of scope
among each other, through resources and capabilies sharing and transferance (Volberda et al., 2011).
Competing as solo players, they are not adherent to the IJV phenomenon (Collinson, Naruda,
Rugman, 2017). However, they incorporate networking strategies in IB (Håkanson and Ford, 2002;
Anderson, Håkanson and Johanson, 1994; Holm and Johanson, 1996; Johanson and Vahlne, 2009).
Complementarily, they adopt cooperation strategies, grounded on alliances, as depicted in Table 45.
Their competition paradigm is focused on risk avoidance and risk control as addressed in the QDA
in chapter 4. The cases reveal a greater dependence of market knowledge building and on their own
path dependency Coviello and Munro, 1995; Sydow and Koch, 2009; and on the individual capacity
of their human resources to incorporate apprenticeships, and disseminate knowledge for a
systematization of the organization learning (Weerawardena et al., 2007). However, as observed
above, these structures reveal a lack of managerial systems, as the structures are based upon a
Mintzbergian professional bureaucracy model focusing on skills and governance flexibility.
The market commitment obeys a gradualistic approach, which is concomitantly related to uncertainty
and risk avoidance and path dependency and networking is used towards this aim as the alliance
management intends to solidify relationships and build a stable base for business. This position
towards international competition coexists with a more progressive one since the opportunity
development (UM-OD) phenomenon in the QDA outputs seemed to be clearly one of the most
relevant exhibited in the quotation frequencies: the most frequent and second most frequent (UM-
OD) in F2; the second most frequent in F1 (behind UM-RM/TB); and in F3 the third most relevant
one (where the first and second ranked phenomena are respectively UM-BN and UM-RM/TB).
As the BN, the cooperation strategies, are applied by the case-studied firms in an international context
as exhibited in Table 45, the contours of the followed cooperation strategies, their identification,
typology and classification. Yet it should be noted that the firms aim to exploit their own advantages
through a capability-based strategy which is combined with allianci
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Table 47 – Configuration of International Cooperation Strategies (CS) (F1-F4)
Source: Own elaboration
Firm CS Type Alliance strategy Classification Type
F1 Alliance Horizontal
complementary
strategic alliances
(Volberda et al.,
2011)
Upstream/downstream (Hess and Rothaermel,
2011); Orientation towards fast-cycles (Volberda
et al., 2011)
Non-equity alliance and access
alliances (Johnson et al. 2011)
F2
Alliance
Horizontal
complementary
strategic alliance
(Volberda et al.,
2011)
Upstream/downstream; non-equity, and access-
based alliances. Orientation toards fast-cycles
(Johnson et al. 2011; Hess and Rothaermel, 2011)
(Volberda et al., 2011)
Non-equity alliance and access
alliances (Johnson et al. 2011)
F3
Alliance
Horizontal
complementary
strategic alliance
(Volberda et al.,
2011)
Upstream/downstream; non-equity, and access-
based alliances. Orientation towards fast-cycles
(Johnson et al. 2011; Hess and Rothaermel, 2011)
(Volberda et al., 2011)
Non-equity alliance and access
alliances (Johnson et al. 2011)
F4
Alliance
Vertical strategic
alliance (Volberda
et al., 2011)
Clustering through the relatedness of the industries
(Porter, 1988; Volberda et al., 2011)
Equity-strategic alliance and access
alliances (Johnson et al., 2011)
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It is recognised in Table 45 that cases F1, F2, and F3 adopt international cooperative or cross-border,
business-level, cooperative strategies, which were observed by the analysis of the results of the
quotation frequencies and the crosstabulation of the dimensions (Cooc matrix), applied to the three
dimensions DC, OP and UM where the QDA revealed a particular attention to the DC-AMC
phenomenon. The results are not homogeneous, as F4 does not demonstrate a focus on DC-AMC
development, while the F2 exhibits a normal frequency with a result among the others in the DC
dimension. However, the F1 and F3 cases reveal a particular attention to DC-AMC, and a cross
relation to UM-BN, and UM-OD and UM-RM/TB, corroborating the information above in Table 44,
that in the approach to competition within the industry the companies combine a cooperation strategy
grounded in alliancing, complemented by a networking approach. Thus, this behavioral pattern fits
the network cooperative strategy, and its subset of alliance networking. Although, it is not clear if the
cases (F1, F2 and F3) follow a stable alliance network and/or dynamic alliance network, as the stable
mode is used in mature industries to ensure stable long-term contractual relationships, while the
dynamic observes frequent research and development and innovation in the industries, which is also
observed. So, we claim that the firms (F1-F3) follow a dynamic-stable alliance networking strategy.
Yet, the alliancing approach unveils a complementary horizontal strategy shape, as the sharing
process is not transversal (as in a vertical complementary strategic alliance), crossing different phases
of the value chain in order to generate common competitive advantages. Instead, the sharing process
is punctual, exploiting a particular scenario and/or positional advantage (Dunning, 2001; Stuart and
Ding, 2007, cited in Volberda et. al, 2011). Thus, the alliancing approach assumes a non-equity form,
since it is based in a contractual partner relation comprising resource-sharing, but not engaging in
equity exchange, such as that in the international joint-venture (IJV) form, which here is not observed
(Johnson et al. 2011; Hess and Rothaermel, 2011; Volberda et al., 2011; Collinson, Naruda, Rugman, 2017).
The alliance management of the firms (F1, F2 and F3) encompasses an ambidextra strand, both, the
upstream and downstream (Hess and Rothaermel, 2011). The cases demonstrate a dual interest in alliancing
towards the exploration of opportunities (upstream) and simultaneously oriented on the direction of new
knowledge generation (downstream), since particular attention is given, respectively, to opportunity
development and research and development and NPD activities. Furthermore, looking particularly at the
downstream approach the underlying dynamism, and accelerated pace are acknowledged and claimed to be an
orientation towards fast-cycles. The strategic alliances are oriented towards the research and development,
product innovation and NPD, a finding that is consistent with the fast-paced cycles commonly associated with
The internationalization paradigm and dynamic capabilities of Portuguese firms __________________________________________________________________________________
Bruno Abrantes 177
the accelerated pace of a new market entry and development of goods and services, overcoming uncertainty,
maintenance of market leadership, and a industry technology standard.
Looking separately at each case, a more frequent adherence to the following phenomena herein
ranked top-down can be observed:
F1: DC-AM; UM-RM/TB; UM-OD; DC-MaC; DC-PDC; DC-NC; UM-MKC; UM-NP; UM-RA;
OP/CD-CPC and UM-BN. Here, the main DCs may be classified as follows:
T1: DC-AM; DC-PDC IeiP: DC-AM
DCs (F1) = ; DICs (F1) =
T2: DC-MaC; DC-NC IerP: DC-AM; DC-PDC
F2: UM-OD; UM-BN; CD-CPC; DC-KC; OP/CD-Po and DC-R&D; UM-RM/TB; and UM-RA.
Here, the main DCs may be classified as follows:
T1: DC-KC IeiP: DC-KC
DCs (F2) = ; DICs (F2) =
T2: - DC-R&D IerP: DC-KC; DC-R&D
F3: DC-NC; UM-BN; UM-RM/TB; UM-OD; DC-MaC; DC-NP; DC-R&D; DC-CC; DC-PDC. Here,
the main DCs may be classified as follows:
T1: DC-CC
DCs (F3) =
T2: - DC-NC; DC-MaC; DC-NP; DC-R&D; DC-PDC
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IeiP: DC-NP; DC-MaC
And, DICs (F3) =
IerP:DC-NP; DC-R&C; DC-PDC; DC-NC; DC-MaC
F4: UM-GD; UM-OD; OP/CD-Po; DC-PDC; DC-MaC; DC-AdC; UM-RA; DC-R&D. Here, the
main DCs may be classified as follows:
T1: DC -AdC
DCs (F2) =
T2: DC-PDC; Dc-MaC; Dc-AdC; DC-R&D
IeiP: DC-AdC; DC-MaC
And, DICs (F3) =
IerP: DC-R&D; DC-PDC
F1 demonstrates a dual concern for cost/price competition and the development of opportunities
accounting for market uncertainty and risk.Thus, F1 fits their IPPF fits the Porterian phenomenon of
a hybrid generic strategy, with the integration of cost-leadership and the differentiation (Porter, 1985).
The firm is risk-avoider, follows the gradualistic internationalization and exhibits the adherence to
the GD phenomenon. The past traces of the PD phenomenon are not observed currently. The
capability-creation/development is rooted in the business-level strategy of the firm. The
capabilizatization is balanced between the Teecian reconfiguration DCs type 1 and 2 and oriented
towards DICs of international exploration processes (IerP). The F2 follows an identical hybrid
strategy; however, with an accentuated cost leadership concern as dominant phenomenon, as the
cost/price competition seems to be central. The capabilitization process observes a balance between
DCs type 1 and type 2. Moreover, the firm demonstrates a marked concern for marketing questions
related with the management of current business and alliances and pursuing new opportunities, which
The internationalization paradigm and dynamic capabilities of Portuguese firms __________________________________________________________________________________
Bruno Abrantes 179
indicates a cumulatively concern with internationalization capabilities (DICs) regarding the
international exploration processes (IerP) to leverage first-moving opportunities (FMOs) (Lieberman
and Montgomery, 1988). The QDA of the F3 transcriptions reveal a clear focus on differentiation
approach, both at their portfolio and market positioning. This international entrepreneurial orientation
is centered on the alliance management and further opportunity development, and a secondary
attention towards market innovation regarding NPD. The firm fits the capability-builing strategic
approach, such as the previous; however, their IPPF is oriented towards the development of DICs
(Prange and Verdier, 2011). Therefore, is almost exclusively centered in the Teecian DCs type 2. F4
confirms a domestic-orientation, with a risk-avoindance approach where the GD phenomenon is
perceived. The PD reveals a spurious effect where the countries of the Lusophony are target not due
to the PD phenomenon but instead because of the network position. The firm possesses a capability-
development strategy, though focused on the Teecian DCs type 2 with the internationalization being
leveraged by the equity-strategic alliances, while pursuing the IeiPs of consolidation capabilities
(CoC) of the DICs, in order to obtain positive externalities in new business creation through the
exploitation of th network, as a peripheral specialist, with a very strong tie (high multiplex) with the
equity-strategic allies of their network (Cross and Prusak, 2012; Albrecht and Ropp, 1984).
Nevertheless, F4 exhibits concerns related with markets opportunities in general (UM-OD), which
may reveal their attention towards reciprocity with the strong ties within their network.
The patterns of transferability (DC-T) and mutability (DC-M) of the main DCs of the partaking firms
are presented below. Figure 43 addresses the transferability of DCs at the partaking firms using the
elements of directionality (d1 = HQ→S; d2 = S→HQ; and d3 = S1 →S(2, 3, 4, …). The DCs are
distributed along d1, d2, and d3 according to the direction exhibited in their mobility. Figure 44
addresses aligns the DCs according to the level of mutability exhibited in each DC according to the
TPS perspective (partial mutability – reconfiguration; total mutability – renewal).
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Figure 43 - Patterns of DC-Transferability (DC-T)
The paradigm of DC-T has a distribution centered on d1 where the transference of 1st-order
capabilities reveals mostly a unilateral mobility from PoO (HQ) to PoD (Sn) as other business units
at host-markets (HQ→S). Noticeable is the fact that the d2 and d3 reveal a similar pattern with the
DCs fitting the Prange and Verdier´s (2011) DICs as they belong to the international exploitation
processes (consolidation capabilities). Figure 44 exhibits the DC-M:
Figure 44 –Patterns of DC-Mutability (DC-M)
Source: Own elaboration
(mo
bil
ity
)
GDC
d1 (HQ→S) d2 (S→HQ) d3 (Sx →Sy)
(directionality)
Source: Own elaboration
(mo
bil
ity
)
GDC
No renewed DCs
Reconfiguration (R) Reneal (Re)
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Regarding the DC-M it is not observed a disruptive mutability in the morphologic characteristics with
the total abandonment of previous characteristics and the acquisition of new ones since the transcripts
of the participants´s speeches do not contain any traces of a total modification of an original DC.
Thus, the reconfiguration occurred in several capabilities related with the Senge´s (1990) concept of
adaptative learning (due to market knowledge) and other regenerative learning due to new
technical/technological knowledge, which shaped severeal DCs: DC-MaC; DC-NC; DC-PDC; DC-
R&D; however, no renewal is perceived in a particular capability. In parallel, as the U-model´s
concept of path dependency is likewise observed in transcripts, this also corroborates the thesis of
partial mutation or reconfiguration and lack of DC renewal or DC disruptive transformation.
Recalling the research questions (RQ1-RQ6) and its propositions under testing (Pr1-Pr6), it is
observed that the firms do not follow a pure gradualistic internationalization archetype comprised in
the original U-model (Pr1), but instead a multidimensional paradigmatic approach to the external
markets, as described in chapter 5. Conclusions. The adherence to psychic distance factors in all firms
in their historical path is confirmed. Currently, the phenomena is perceived most intensively in F3 (as
a true relation) and additionally in F4 (as spurious releation), although not verified in F1 and F2. All
firms follow a capability-based internationalization strategy (Pr3), and the development of ordinary
capabilities (OrC) and/or dynamic capabilities (DCs) in their domestic market (Pr4) is positively
observed. The transference of DCs to foreign markets where the firm operates is positively observed
(Pr5) and simultaneously, assume heterogeneous directionality patterns of integration and
mutability/reconfiguration processes from the PoO to the PoD (Pr6). Table 48 summarizes these
findings.
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Table 48 – Summary of IPPFs (F1 – F4)
Firm Corporate-level strategy Business-level strategy Structure and systems International competition
F1 Corporate scope:
Single SBU
Diversification: Low level
of diversification (> 95%
revenue from single
business)
Focus: Gowth strategies (of
international expansion)
Type: hybrid strategy (integration cost-leadership/ differentiation)
Strategic Planning: between Phase II (Forecast-based) and Phase III
(externally-oriented)
Risk profile: avoidance, pursues geographically closer markets
Other features: incorporation of innovation strategies (for
differentiation), cooperation strategies (cost-leadership and
differentiaton)
Innovation strategy: Open-innovation, orientation towards NPD
Cooperation strategy: alliance networking (non-equity alliancing;
horizontal complementary strategic alliances)
General: Functional structure of
professional burocracy (organic);
focus on skills standardization
International coordination system:
Centralized-federation
Capabilitization: DCs( R&D, market
development, adaptability,
networking, relationship and trust-
building)
- mix of FDI and exports
- Ambidexterian
(international exploration
and exploitation
processes)
- Synergies HQ-S/S:
Transnational
- Marketing: blend multi-
domestic and global
strategy
F2 Corporate scope:
Single SBU
Diversification: Low level
of diversification (> 95%
revenue from single
business)
Focus: Gowth strategies (of
international expansion)
Type: hybrid strategy (integration cost-leadership/ differentiation)
Strategic planning: Phase III (Externally-oriented)
Risk profile: avoidance, pursues geographically closer markets
Other features: incorporation of innovation strategies (for
differentiation), cooperation strategies (for cost-leadership and
differentiaton)
Innovation strategy: Open-innovation, orientation towards NPD
Cooperation strategies: alliance networking (non-equity alliancing;
horizontal complementary strategic alliances)
General: Functional structure of
professional burocracy (organic);
focus on skills standardization
International coordination system:
Centralized-federation
Capabilitization: DCs (R&D, market
development, adaptability,
networking, relationship and trust-
building)
- FDI and exports
- Ambidextra (international
exploration and
exploitation processes)
- Synergies HQ-S/S:
Transnational
- Marketing: blends a multi-
domestic with a global
strategy
-
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F3 Corporate scope:
Single SBU
Diversification: Low level
of diversification (> 95%
revenue from single
business)
Focus: Gowth strategies
(of international
expansion)
Type: hybrid strategy (integration cost-leadership/differentiation)
Strategic planning: Phase III (externally-oriented)
Risk profile:(high) avoidance, pursues culturally closer markets
Other features: incorporation of innovation strategies (for
differentiation), cooperation strategies (for cost-leadership and
differentiaton)
Innovation strategy: Open-innovation, orientation towards NPD
Cooperation strategies: alliance networking (non-equity alliancing;
horizontal complementary strategic alliances)
General: Functional structure of
professional burocracy (organic);
focus on skills standardization
International coordination systems:
Centralized-federation
Capabilitization: DCs (R&D, market
development, adaptability,
networking, relationship and trust-
building)
- mix of FDI and exports
- exploration and
exploitation processes
- Synergies HQ-S/S:
Transnational
- Marketing: blend multi-
domestic and global
strategy
F4 Corporate scope:
Single SBU
Diversification: Low level
of diversification (> 95%
revenue from single
business)
Focus: Gowth strategies (of
international expansion)
Type: hybrid strategy (integration: cost-leadership/differentiation)
Strategic planning: Phase III (externally-oriented)
Risk profile: avoidance, pursues geographically closer markets
Other features: incorporation of innovation strategies (for
differentiation), cooperation strategies (for cost-leadership and
differentiaton)
Innovation strategy: Open-innovation, orientation towards NPD
Cooperation strategies: alliance networking (non-equity alliancing;
horizontal complementary strategic alliances)
General: Functional structure of
professional burocracy (organic);
focus on skills standardization
International coordination system:
Centralized-federation
Capabilitization: DCs (R&D, market
development, adaptability,
networking, relationship and trust-
building)
- International trade
(exports)
- Ambidextra (international
exploration and
exploitation processes)
Source: Owm elaboration
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6. CONCLUSIONS
We address the conclusions in a dualistic mode, both agglomerating (the four cases) and specifying
ones, when particularizing a focal firm. The comprehension of the patterns of IPPF required an
integration of the empirical testing with the revised literature to illuminate the phenomenon (IPPF)
and respond to the RQs and demonstrate the achievement of their aims. It was perceived that the IPPF
of the case studied firms, accounts, cumulatively, account for the specificities of the firms, the
environmental specificities of the domestic-market and host-markets environmental, the
organizational ecology, and the drivers for international entrepreneurship (Collinson, Narula and
Rugman, 2017; Mathews and Zandler, Carrol and Hannan, 2000). Thus, we observed that both the
internal and external environment have a mutual significate impact on the IPPF of the firms.
The cases accommodate a multidimensional paradigmatic internationalization reality, as
demonstrated below. The IPPF reveals heterogeneity among cases with some overlapping
phenomena, although with a holistically distinctive identity of the firms among each other, as
discussed in Chapter 5. Findings. In general, the Portuguese firms fit partially into the Uppsala school
of thought as their internationalization is committed to uncertainty control and risk avoidance through
a gradualistic approach typically of a process model that relies on the edification of market knowledge
to balance the market commitment decisions. This finding partially explains their geographical
orientation towards markets of proximity in Europe, and we say “partially” as the other factor (apart
from the U-model gradualism) and driver for geographical proximity is the national comparative
position, which is addressed below. However, the propensity of the firms towards risk and uncertainty
control is based on the pillar of knowledge arbitrage. Although, we did collect evidence that the firms
are equally sensitive (apart from knowledge arbitrage) to labor arbitrage, capital arbitrage and tax
arbitrage (Kogut, 1985; Ghemawat, 2008).
Nevertheless, within the framework of the u-model the observance of psychic distance factors are
still verified. Thus, it is confirmed the adherence of the firms to the phenomenon as pointed out at in
chapter one, regarding the background description of the reality. It is confirmed the disregard towards
the markets of Maghreb in the North African region, despite the geographical proximity, and is
observed the preference for markets of closer psychic/cultural proximity, as the Portuguese-spoken
and Spanish-spoken countries in Africa and in South America, despite its larger distance.
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The issues related with the national comparative position, as referred above, affect transversally the
internal trade of all four cases. F4 as an exporter, and the remaining ones, as they possess production
units in the domestic market, which are supplying other countries. F1 and F2 demonstrate particular
sensitivity to this issue as they revealed adherence to the externalization of activities to other
international partners. This national reality which impact their firms the most (and is supra industries),
is explained by the participants, that is related with the geographical location of the country which
underlies a economic periphicity towards the economies in Central and North Europe, that overloads
the companies in the country with a surplus of costs and loss of international business opportunities
in the Euro region, as explained in findings. This incidence fits additionally the theory of Adam Smith
of absolute advantage, regarding the territorial dimension of the market and the Ricardian theory of
comparative advantage. The domestic (small) geographical dimension of the local market is perceived
in all cases transcriptions, regarding the negative impact in firms, as portrayed by the CEO of
Bobimade, S.A. (classified as participant P7 in this study) claiming that “another disadvantage has
to do with the effective size of the market, not just the geographic dimension…” (quotation 20:15).
This argument adjusts to the factor endowment theory or Heckscher–Ohlin model (H–O model),
which claims the importance of national factors as land, capital, and labour. Here is observed land
constraints. Although, the Porterian diamond corroborates the previous theory attributing to factor
conditions (and its related demand conditions the national competitiveness constraints. Moreover, the
CEO of one of the firms (identified as P5 in this thesis) argues that “for companies to survive in
Portugal it is necessary to have support, specific lines for companies´ investment, because if we want
to increase exports, and if the Portuguese productive tissue is exhausted, we can only increase exports
if production is increased.” (quotation 18:24), which corroborates the limitation of the market in
terms of land, and additionally stresses the lacking role of the governmental policies to leverage the
international trade and investments (Collinson, Naruda and Rugman, 2017). In parallel, it is observed
a proximity towards the transaction cost theory and global integration of the business value chain, as
a recurrent mechanism of compensation of potential geographical peripheral losses (Coase, 1937).
Thus, the companies demonstrate a profound awareness of the national macro barriers that affect the
international business environment, and a particular attention to the factors described in the CAGE
framework (Ghemawhatt, 2008).
The industry is capital-intensive and firms rely on highly skilled human capital. Therefore, the
industry fits the Leontief paradox of the Heckscher–Ohlin theory (H-O theory), as capital-intensive
goods are attracted to the international markets (Collinson, Naruda and Rugman, 2017). It is also
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stressed, that despite the concern of the firms with regard to the impact of the fluctuation of the
exchange rates in international trade competitiveness variation, the data is not suffice to contextualise
it within the international Fisher effect (IFE).
The business-level strategies fit the Porteriam focus on strategies, and are in a stuck in the middle
position, as they integrate cost competition with differentiation. Although, the differentiation does
not fit the blue ocean diversification model, which encompasses the generation of value innovation
(Porter, 1986a; Kim and Maugborne, 2011). However, the mindset of the firms is oriented towards
the development of competitive advantages, through the generation of incremental innovations, from
research and development activities oriented towards the NPD. In this sense, the stuck in the middle
strategy it seems to occur, fruit of cicunstacionalism, and related with the fact that other global players
do not allow an international (real) cost leadership, and cumulatively, the demand target industry is
highly commoditizable (the energetic sector). Thus, the sample firms produce parts of cables,
packing, conductive wires, and coverages, oriented to a target industry (of utility companies of
electric distribution) where the product is technological and intricate to differentiate it, despite the
constant research that the firms seem to undertake regularly. As the sampled cases, endeavor to
differenciate themselves, the QDA results and findings, exhibit the possession and use of sets of
combinative capabilities of ordinary (zero-order) and higher-level (first-order) capabilities,
operational/ordinary capabilities and (global and non-global) dynamic capabilities, which the firms
develop, purposely, to explore sources of competitive differentiation, focusing on the improvement
of their portfolio, while introducing innovative traits, through NPD. Thus, the firms attempt to
develop social capital and generate new intellectual capital (Sørenson, 1997). The main forces of
competion het face, are here identified as the bargaing power of buyers (utility electrical companies)
and the direct competition of global players, which the sampled firms seek to counter-balance with
an effectuation process of development of competitive advantages leveraged by their competences
and DCs that may generate own local advantages in the international markets (Grant, 2010; Grant,
2010, Barney, 2001; Wernerfelt, 1984; Dornbusch, Fischer and Samuelson, 1977; Penrose, 1957;
Saravasthy; 2001; Dunning, 2001; Porter, 1986).
The structures archertpes of the firms and governance models as described in findings adjusted to the
Minztbergian professional burocracy and functional structure, articulated with a central-hub
federation mechanism for coordinating international operations. The later one requires adjustments
in its strategic fit (McDougall and Oviatt, 2000; Barlett and Goshall, 1993; Goshall and Barlett, 1990;
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Prahalad and Doz, 1987, cited in, Ghemawat, 2008; Minztberg, 1980). The adjustments to the
strategic fitness is due to the growth of the firms in volume (increasing number of markets), which
indiciates a spiral of complexification of the operation, in geographies and segments, which was not
adequately accommodated in the structure and governance models. Thus, it is demands further
formulation in its managerial systems, especially the ones related with the activities of, organizational
controls, business communication, and coordination mechanisms intra subsidiaries, as pointed out by
several participants, being acknowledged the risk of the lack of systematization of information, its
centrality in the individual, and risk of explicit knowledge dissipation or definite loss (Volberda et
al., 2011).
Conversely, the interculturality issues are considered at the case studied firms. The partaking firms
reveal a common awareness to the interculturality or cross-cultural issues between nations and the
capacity to function in culturally diverse settings; therefore, it may be built the assumption that
demonstrate positive cultural quotient (CQ) or cultural intelligence (Earley and Ang, 2003). Here, the
CQ is noticed merely at meta-cognitive and cognitive tiers, since the firms exhibit a cultural
awareness and consciousness to interact with individuals from different cultural backgrounds and
also to deconstruct the cultural knowledge into international business norms, practices and
conventions (Groves and Feyerhelm, 2011; Van Dyne, Ang and Koh, 2008). Although, the latter
refered business norms, practices, and conventions require further systematization in their functional
and managerial systems and the abandonment of arbitrarian circunstancial diagnosis. Therefore these
require a closer look into the cross-cultural management, and national/corporate cultural values and
the development of motivational CQ and behavioral CQ (Adler, 1993; Smith, Dungan and
Trompenaars, 1996; Hofstede, 1983; Schwartz, 1999; Tsalikis, Seaton and Sheperd, 2007; Van Dyne,
Ang and Koh, 2008). Moreover, the organizational ecology, and the contemporary pace of the
business environment, globalization models, the hypercompetition, the network-playing modes, the
born-global (BG) firms, the flagship and gazelle firms, seems to be acknowledged by the partaking
firms in this study (Collinson, Narula, Rugman, 2017; Gabrielsson et al., 2008; Acs and Mueller,
2008; Carrol and Hannan, 2000; Grifith and Harvey, 2001; Nielsen, 2006; Zahra et al., 2000;
Johanson et al., 1988; Coviello and Munro, 1995; Holmlund and Kock, 1998; Forsgren, 2002;
Coviello, 2006; Holmlund et al., 2007).
Summarily, it should be noticed that the IPPF was here in this research empirical tested, reasoned and
illustrated its theoretical ground, and therefore it is claimed that A1 then achieved. The specific aims
A2 and A3 are positively observed, both the compliance with a psychic distance factors, and an of
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internationalization paradigm deeply rooted in a capability-based strategic design, and the firms DCs
are thoroughly identified. As the research identified patterns of international transferability of
DCs/global dynamic capabilities (GDCs) - from the domestic, to the foreign markets (where the firm
operates) and complementarily it is confirmed mutation in the morphology and/or intensity of the
applicability of the DC, and therefore, it is here also claimed the achievement of A5 and A6.
6.1. Limitations to the study
A first constraint here recognized, is related with the limitation of the time frame of the project, the
limited knowledge of the researcher to make inferences about the world, and its underling limited
computacional skills, which are commonly ignored by the models of decision making in economics,
cognitive sciences, biology and other field (Gigerenzer and Selten, 2002). These limitations are
recognized in the boundend rationality notion, as imperfection of human behaviour within the
business firms and institutional economics (Simon, 1982). As the bounded rationality is explicitly
assumed as an individual limitation of the researcher, it comprises the set of philosophical
assumptions, as an epistemological assumption related with the perception of the world. Secondly,
the research design itself, and particularly the data collection and sampling methods, which were
inhibitory of a larger scale data collection, and its extrapolation to an intra-sectoral study and its
appliance in a multi-country comparison.
The absence of scalling and measurement units applied to this study within the dynamic capabilities
theory, constituted an influential factor in the decision of the type of approach to theory development.
An eventual quantitative approach lacked on further ground on theory as the mobility, transferability,
and mutability scales on GDCs do not account a classification of scalling and measurement of the
phenomena. Thus, the research was oriented towards a constructivistic paradigm for testing GDCs,
although, without measuring the levels of observance of the phenomena, but circumscribed to the
identification of the DCs type, and observing the contours of the transference and reconfiguration
through an interpretativistic mode.
Moreover, the Atlas.Ti version 8 raised methodological challenges related with the flexibility of
manipulation of the system, also concerning the capacity to interrelate tools, and with the type of
outputs generated.
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6.2. Managerial implications
This case study research identified critical issues in the business environment in the Portugal, related
with the endowments factors of competitiveness of the economy, its national comparative advantage
position, and its national diamond. Primary and secondary data did not allow the determination of a
Leontief paradox phenomenon in the manufacturing industries, since this study´s scope in not macro
but microeconomic.
We observed that selection of host-markets is positively related (but not not exclusively) to
geographical and psychic distance factors of the u-model and an underlying risk avoidance, and
uncertainty control strategy. The IPPF matches other paradigms revealing a markedly dependency on
the factor endowment and on the Ricardian theories. Data demonstrates a low national comparative
advantage on the sector and the dependency of public intervention to balance competitive
equilibriums, mostly within the EU markets. The size of the land as a factor condition and more
precisely the relative dimension of the country in comparison with other states, is materialized in a
small effective market dimension, which is combined with a peripheral geographical location in
Europe.
Both phenomena pressure the Portuguese firms with a surplus of costs with international trade of
goods from Portugal, which is related to the primary activities of outbound logistics (for deliveries in
Europe), and on the buying-side with the inbound logistics of acquisition of raw materials. Moreover,
the loss of business opportunities with regard to framework contracts and spot sales is also observed.
This consubstantiates a phenomenon of economic periphery that uncovers a Keynesian dependency
of governmental public policies to mitigate the effects of the economic periphery. Conversely, the
firms argue a lack of national policies to compensate the economic periphery phenomena
(consubstantiated in peripheral geographical location and small effective market size) and to stimulate
the international trade and FDI.
This Keynesian dependency of the governamental intervention is observed in some participants´
narratives, which demand a higher participation of the state in two domains, regulation and stimuli to
the economic activity. At regulation level, the suggestion of the creation of legal and administrative
mechamisms that may facilitate the future establishment of professional tariffs for energy
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consumption in natural gas and electricity for the secondary sector (ajusted to an average prices in
central Europe to reduce the competitive gap to the other EU markets) was than raised.
The firms referred their need for governmental financial instruments of credit for facilitating their
outward international trade and investment. Moreover, referred to the public co-participation of the
government in investment risks and international ventures, and applying expansionist fiscal policies
oriented towards the cutting on corporate taxes. Thus, the partaking firms claim that these measures
are critical national mechanisms of compensation of competitive inequalities and (re)establishment
of equilibrium among markets and their application may reduce at these organisations the economic
periphery, mitigate some exchange markets losses with regard of the fluctuation of the Euro to other
currencies, particularly losses against the dollar, and stimulate the expansion of the export and foreign
investment activities. In this sense, we have cross-checked the firms´ claims lack of government
stimuli to international expansion, through the observation of data of international economic freedom
(IEF) (Table 49).
Table 49 – International Economic Freedom (IEF)
Country Rules of law Government size Regulatory efficency Market Openess
IP JE GI TB GS FH BF LF MF TF IF FF
Portugal 73,3 68,9 59 59,8 25,1 32,1 86,4 43,4 85,9 87 70 60
Italy 74,6 55,4 44,7 54,9 22,3 66,9 69,8 52,9 86,9 87 85 50
Spain 71,2 53,9 57,2 62,5 41,4 26,9 66,9 55,3 85,5 87 85 70
France 85 72,7 69,7 47,6 2 57 78 44,1 81,6 82 70 70
UK 93,8 93 78,3 65,1 41,9 40,4 89,9 72,8 85 87 90 80
Germany 82,9 79,5 77,7 61,9 41,4 89,9 86,6 42,8 85,9 87 80 70
US 81,3 75,1 78,1 65,3 55,9 53,3 84,4 91 80,1 87,1 80 70
Angola 36,4 19,8 12,8 87,7 58,6 70,7 58,5 40,4 70,6 56,7 30 40
Brazil 55 49,7 33,4 70,1 53,1 22,8 61,3 52,3 67 69,4 50 50
Netherlands 87,4 69,9 85,7 53,2 37 83 80,2 70,5 85,8 87 90 80
Belgium 83,3 69,3 71,5 44,1 9,6 66,3 82 61,1 84,9 87 85 70
Source: Own elaboration
(IP – Intellectual property; JE – judicial effectiveness; GI – government integrity; TB – Tax burden; GS – government
spending; FH – Fiscal health; BF – Businss freedom; MF – Monetary freedom; TF – Trade freedom; IF – Investment
Freedom; FF – Financial Freedom)
Considering the data in the table above, we focused on the financial freedom (FF) indicator, which is
the one directly explanatory of the governmental financial simuli to international trade and
investment. Data reveals that the country has the second lowest figures in the group of European
markets (Figure 43).
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Figure 45 – Financial Freedom – World, Europe and Portugal
Source: Heritage (n.d.)
(Orange line – World; pink line- Portugal; grey line – Europe)
The data of financial freedom of the IEF that measures the level of public savings, credit, payment
and investment services of the state to individuals, corroborates the claim for public policies to
stimulate their international expansion and correct competitive inequalities to other EU market
players as the slope of the pink line representing Portugal demonstrates lower indicators than the
average in EU since 1995 until 2016. In parallel, the exports in the sector indicate low-level of
national comparative advantage (NCA) as the shared value ratios in the world trade are 0,7 in the
category 83 – miscellaneous articles of base metal) and 0,2 in the category 85 – electrical machinery
and parts thereof (ITC, n.d.).Thus, the sector lacks on differentiative factor endowments to competete
internationally and to generate further international business investments. In this contxt, the eclectic
paradigm of Dunning (2001) and CSA/FSA matrix of Rugman (2010) suggest that firms may tackle
national competition issues that are hampering higher profitabilities (due to international trade unit
costs) by switching to a FDI framework. The authors advocate that firms may tackle this national
competitiveness issue through a trade-jumping-cost gain which has a positive impact on operative
profits, despite the loss of economies of scale of concentrating the production in domestic facilities.
This trade-jumping-cost gain (γ) is represented by difference between the estimated total profits from
the FDI (ΠF) and those from exports (ΠX). The γ considers the π∗ (t*) as the potential for the MNC
to earn additional operating profits by selling in the foreign market directly, the total estimated higher
operative profits π∗(0) and the additional fixed costs (f), which equals:
γ (t∗, f) ≡ ΠF − ΠX = π∗(0) –f − π∗ (t∗) (17)
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Dunning (2001) suggests that the rise in operational profits may come from O (ownership)
advantages, most precisely through the ownership of assets (Oa) transfering partial production to
host-markets and combining it with L (location) advantages. Nevertheless the virtues of the OLI
attributes of the ecletic paradigm for the illumination of a future IPPF in the sector, it should be noted
that the Oa advantages do not take into account the MNC behaviour patterns on capabilities
transferability as already criticized in recent literature (Verbeke and Yuan, 2010). However, should
be emphasized that the OLI factors exhibit a specific O advantage, the Oi (Ownerhip of institutional
advantages) as a subset of O advantages named by the author as the institutional infrastructure which
is related with the resource-based of the firm. Here, the Oi suggests cross-border general transference
of practices and its diffusion among subsidiaries, which is line with the DCT and with the GDC
notion. In fact, the DC inner capacity of groegraphical mobility and its actual transferability to
international markets, intra-transferability between subsidiaries (S-S) and or reversed to the internal
market (S-HQ) was positively observed in the partaking firms as were explicitly verbalized in the
participants´ narratives of F2 (P4) and F3 (P5 and P6).
Finally, we cross-checked the national model of competitiveness (NMC) defended for the Portuguese
economy with this empirical research. The NMC claims the focus on the transactional economy
industries and the rise of sophistication and singularity of both businesses and products, including
their technological content and further incorporation of knowledge (Bento, 2010). The partaking
firms in this study belong to the secondary sector and pursue business-level strategies either pure or
hybrid business models containing evidence of sophistication, First, they reveal to knowledge-
orientated as they pursue capability-developing strategies design and open-innovation models
previously explained. Those BLS strategies (capabilisation and open-innovation) comprising
knowledge-based activities of R&D are combined with cooperative strategies, to generate new social
and intellectual capital, to introduce new technological solutions and portfolio reconfigurations and
to create product innovations. However, despite the sophistication of their business models and
external markets success and constant growth, the IPPF is marked in the present time by a U-Model
in its majority marked by the GD phenomenon which has a hybrid effect, a true and a spurious relation
to the IPPF. The geographical orientation is portraying the choice of external markets and further
commitment decisions in these markets. However, this happens not uniquely due to a risk avoidance
internationalization gradualistic pattern that advocates the proximity markets as less risky (and their
local companies as well) but also, the IB related decision-making processes are contrained by the
phenomenon of economic periphery (peripheral geographical location and small effective market
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size). In this context, we observed that despite the multidimensionality of the strategic designs of the
partaking firms, which demonstrate the capacity to develop knowledge-based and sophisticated
approaches, a Keynesian dependency of governamental public policies is noted and higher regulation
and stimuli to MNCs is demanded to mitigate competitive disadvantages and establish competitive
equilibriums at intra and extra-EU marketplaces and to trigger growth opportunities for the firms in
general and the international expansion of the industries of the transactional economy.
6.3. Future Research
This research may be enlarged in its sample dimension and that may be associated with a
representative sampling within the sector, and/or extrapolated to an intra-sectoral study, and it may
comprise country-comparisons. These, allow to obtain statistical generalizations which are
complementary to the analytical generalization of this study.
As indicated in subsection 6.1., the development of scales related with the mobility of DCs is critical
to deepen the knowledge in this research field. The creation of scales orientated to the measurement
of GDCs may interrelated and enlarge the body of theory of DCV towards the IE theory. Therefore,
the development of scales and its underlying units of measurement applied to the DC transferability
and DC mutability are essential, as in this phase the DCT despite incorporating dynamism and the
reconfiguration process, possess empirical testing corroborating the existence of the GDC
phenomenon.
We propose the development of a semantic differential scale (SDS) for proceeding with further testing
of those concepts of DC transferability and mutability. For measuring those, is suggested the use of
a semantic differential scale (SDS) within the interval scales, and sub-classified within the itemized
rating scales (IRS), due to appropriatness of the scale to measure the intensity-level of the observed
phenomena. However our suggestion that lies in the development of an SDS, as a non-comparative
scale (NCS) of IRS-type, but not a pure itemized rating scale (graphic, semantic or numeric)
combining two rating elements (the semantics and numering), and therefore, blending the itemized
semantic scale (ISC) with the itemized numeric scale (INS).
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APPENDICES
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Appendix 1 - The Manual of the Interview Guide
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1. Phases of the interview
- Pre-introductory
- Introductory
- Opening development and substantive content
- Closure
- Post-closure
1.1. Activities per phase
1.1.1- Pre-introductory:
o Preparation of tools and resources, as the sound-recording device, USB driver, and
laptop
o Printing the interview guide and ethical agreement form(s) for filling up and signing it
1.1.2- Introductory
o Greeting and thanking the participant
o Summarized explanation of the research project
o Confirmation of data - Demographic profile questionnaire
o Interview agreement form (reading/signing)
1.1.3- Opening development and substantive content
o Initiate recording session
o General questions
o Supplementary questions
o Take notes
o End recording session
1.1.4 – Closure:
o Final thank for the time spent and information provided
o Verification of the recording materials and notes
o Manual transcription of the data to a word processor file
5 – Post-closure:
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o Verifying the recording materials and notes
o Save, and back-up of data (in the computer and USB driver)
o Sharing a copy of the interview with the partaking firm
o Verification of the recording materials and notes
o Manual transcription of the data to a word processor file
2. Data Collection Instruments:
2.1 - Demographic Profiling Questionnaire
You may check bellow the template of the demographic profile questionnaire.
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Demographic Profile Questionnaire
(This questionnaire is uniquely applied to the participants on the academic research field of the
internationalization paradigms of the Portuguese firms)
___________________________________________________________________________
Interviewee´s Name:
Gender:
Age:
Employer
identification:
Seniority at the
company?:
Position occupied:
Functional area:
- END –
To all participants is granted confidentiality and anonymity of his/her participation. The
interviewer ensures the security of data and the testimonials at verbal and written formats will be
stored in a safe location which is inaccessible to third parties.
- Thank you for your Collaboration! -
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2.2. Interview Agreement Form
The contents of the form signed by bothg the research and the participants are the following:
1 – Participation in this research:
a. Is voluntary?
b. Informed consent (awareness of the research)?
2 – Protection of identity:
c. Confidentiality of data
d. Anonymity of participants
3 – Ethics
e. No conflictual interests
f. Respect to the privacy of individuals
g. No physical or emotional harm, at my personal and professional life
h. Does not affect the current and/or future health of the participant
i. Is authorized the (audio/video) sound/images recording
j. Data will be stored safely and inaccessible to third parties
- END -
Researcher Interviewee
_______________________________ _______________________________
2.3. General Questions
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Table 50 – Interview guide - General questions
No. Question Formulation
1 EN: How do you describe the strategy of the firms towards the international
markets?
PT: Como descreve a estratégia adotada pela empresa perante os mercados
internacionais?
2 EN: To what extent does your company consider the geographical location (and
its relative proximity/distance) to the domestic market and/or headquarters as a
factor weighing on the market-entry decision?
PT: Em que medida considera que a localizacao geográfica (e a relative
proximidade/distancia) face ao mercado interno e/ou sede da empresa, como um
factor de peso na decisao de entrada num novo mercado externo?
3 EN: Does/did the company been influenced on its market-entry and/or continuing
and expansion, by criteria of (inter)cultural or linguistic proximity, affinity and
and/or relatedness?
PT: É/foi a empresa influenciada na entrada, continuidade e/ou exapansäo de
Mercado foi questöes de proximidade, afinidade ou relacionamento
(inter)cultural?
4 EN: What kind of arrangements are perceived in the firms ‘internationalization
strategy that indicates the search, identification, exploration and/or exploitation
of market opportunities?
PT: Que tipo de accoes relacionadas com a estratégia de internacionalizacao da
empresa sao desenvolvidas com vista à pesquisa, identificao, desenvolvimento e
exploracao de oportunidades internacionais?
5 EN: Does the company undertake diligences towards the affiliation and
development of its international business networking, and/or cooperative
strategies?
PT: A empresa compromete-se com a afiliacao e desenvolvimento de redes de
negócios internacionaos, e/ou estratégias de cooperacao internacional?
6 EN: Does the company possess critical resources and capabilities for its national
and international business competition?
PT: Possui a empresa importantes recursos e capacidades internas para a
competicao nos mercados nacional e internacional?
7 EN: What resources and capacities is the company exploring in the international
markets?
PT: Quais sao os recursos e capacidades que a empresa utiliza nos mercados
internacionais?
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Source: Own elaboration
2.4. Supplementary Questions
Not prepared previously. Those are within the research frame, and according to the interviewer
perception about the participant´s information possession as gatekeepers, which may be critical to
achieve the saturation point of collection.
8 EN: Are the resources and capabilities which are transferred to the foreign
markets, used and managed identically in the host market (as in the domestic) or
do they suffer adaptive changing processes?
PT: Os recursos e/ou capacidades utilizados nos mercados internacionaos que
foram transferidos do mercado interno, säo utilizados e geridos de forma
identica à do mercado nacional, ou sofrem processos de alteraco adaptiva?
9 EN: (About the resources and capabilities implanted in the international
markets), are they cumulatively, and/or alternately used at the domestic market?
PT: Os recursos os capacidades utilizados nos mercados internacionais sao
utilizados cumultivamente (ou alternadamente) na empresa internamente, após a
sua implantacao internacional?
10 EN: Have you perceived the use of resources and/or capabilities at the local
market that belong to an operation abroad, or with its previous origin there?
PT: Percepcionou alguma vez a utilizacao no mercado interno de recursos e/ou
capacidades da empresa que pertencem, ou que estäo estäo localizados fora do
país e/ou que tiveram a sua origem no estrangeiro?
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3. Interview Method – Application structure
Table 51 - Application structure
Source: Own elaboration
All the omitted information about the design of the interview method, its relatedness with the
methodological approach followed in the thesis and the conduction of the selected technique, which
you may not identify, as issues addressed in this interview guide, are you recommended to follow the
thesis document itself.
Basis/dimensions Identification
Organizing phases Preparation, pre-test, conduction and data-mining
Conducting phases Introductory, opening development and substantive content,
closure and post-closure
Approach Qualitative inquiry
Type Research interview
Interaction Dyadic (two actors)
Style Non-directive
Focus Management of insights
Objective Synchronization of meaning
Insights Prompts and probes
Actors One interviewee; One interviewer
Inquiry Intensive / in-depth interview
Tools and resources Interview guide, demographic questionnaire, List of questions,
interview agreement form, laptop computer, sound-recording
device, and notebook
Written idiom Portuguese (PT)
Spoken idiom Portuguese (PT)
Language Formal
Formality-level Medium/high
Timeframe Not limited
Schedule Working hours
Date July 2017
Assumptions Interviewees as key-informants and gatekeepers
Format Semi-structured interview
Process Dual non-standardization (on the sequence of questions, and
phrasing)
Questions General questions and supplementary questions; non
standardization on its sequence
Questions-metrics Not applied (n.a)
Ethics Described in the interview agreement form
Mode Vis-à-vis
Validity Pre-testing of questions (Jun-17)
Environment Chosen by the interviewee
Location Workplace of the participants
Output Transcripts
Output´s retroversion PT – EN
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Appendix 2 – The Codification System of Qualitative Data
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1. Introduction
The CS guidebook is a codebook that depicts the analytical procedure of data codification, according
to the theoretical frameworks in this thesis for general qualitative data analysis, and data structuring.
The codification process presupposes an ex ante preparatory effort building the architecture of coding,
plus the codification per se which generates the cognitive mapping of the analytical procedure (as a
result of the coding) and a final ex post analysis of its findings. Thus, the CS guidebook (exhibited
in Appendix 2) addresses the codification design and its rationale grounded in the data analysis
methodology adopted, and creates the cognitive mapping (of the concepts, constructs, themes and
dimensions) verbalized in the speech of the interviewees.
2. Conceptualizations
Codebook - a “complete list of all codes used to code data variables”.
Code - “is a single word, short phrase, used to label a unit of data, and a number or word used to
represent a response by a respondent or participant”.
Coding - “the processing of labelling data using a code that symbolises or summarises the meaning
of that data” (Saunders, Lewis and Thornhill, 2016:712).
CAQDAS (Computer-assisted qualitative data analysis)– “Computer software that facilitates the
analysis of qualitative data” (Bryman and Bell, 2015:606)
Nodes – “a set of references about a specific theme, place, person, and/or other area of interest.”
(Bryman and Bell, 2015:610)
3. Purpose of the CS System
The CS system attends to the following two categories of targeted objectives:
- General (and primary ones)
- Specific (subsequent to the first category)
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4. Objectives
4.1. General objectives
The general objectives are:
- Edification of an adequate response to the research paradigm, aims and research questions
- Self-organize the research
- Reduce subjectivity and bias
- Eliminating eventual misperceptions by the reviewers
- To make explicit the in-depth analytical procedure
4.2. Specific objectives
The specific objectives are as follows:
- Improvement of the meaning system
- Support a deep immersion into data mining
- To exhibit the tools and resources employed
- Detect eventual inconsistencies between the constructs´ characteristics and borders
- Explore commonalities between the two theoretical approaches (The Uppsala´s school of
business internationalization and the dynamic capability view of the resource-based theory)
5. CS and CS System - Concepts and definition
It is critical to clarify the two terms here employed: codification system and codification system
guidebook. Therefore, it should be mentioned that the first comprises all the codification steps along
the research while the CS guidebook contains merely the preparation of coding, but not its further
implementation.
Although, before entering in-depth into the characteristics of both, it is rather essential to mention
that the data structuring instrumentalize the codification process as a part of a whole. In this way,
according to the methodologic approach of the investigation, the data structuring accounts two
components of this research:
(i) the data analysis framework
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(ii) the data collection technique.
5.1. Stages of data structuring
Based on those, the data structuring follows these stages:
- Data reduction
o Selecting
o Structuring
o Detextualizing
o Codification rationale
o Codification design
o Codification and manipulation of data
o Manipulation
- Data display
o Coding outputs
o Cognitive mapping
The codification system is subsequent to the data analysis and structuring, within the phases of the
later, data reduction and data display, this instrument accounts the following traits:
1. Codification rationale
2. Codification design
3. Units of analysis and data
4. Coding frame
5. Levels of codification
6. Coding units
7. Coding categories, rules and codes´ descriptors
8. Tools and resources
9. The codification process/testing
10. Codified frequencies
11. Nodes
12. Cognitive mapping
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13. Coding Outputs
It is perceived that the codification ends with the generation of outputs, give place to the data
structuring an analytical interpretative immersion into the data displays, analysis and conclusion of
according to the methodological general approach defines for this research.
In turn, the CS guidebook does not contain the whole the components of the CS, as it is concerned
uniquely with the structuring and organizational aspects of the system for further enforcement. Thus,
it addresses uniquely:
1. Codification rationale
2. Codification design
3. Units of analysis and data
4. Coding frame
5. Levels of codification
6. Coding units
7. Coding categories, rules and codes´ descriptors
8. Tools and resources
9. The codification process
5.2. CS components and CS guidebook section
The CS guidebook addresses these phases in the following sections:
Table 52 - Codification System (CS) - CS Components and Guidebook sections
CS Components CS Guidebook´s Section
Codification rationale Related to the theoretical framework line followed, it is
presented at:
“General Description”
Codification design “General Description” and “Coding Frame”
Units of analysis and type data “General Description”
Coding frame “Coding Frame”
Levels of codification “General Description”, “Coding Frame” and “Coding
Descriptors”
Coding units “Coding Frame” and “Coding Descriptors”
Codes (and the coding
descriptors)
“Coding Descriptors”
Tools and resources “General Description”
The codification process “General Description” and “Nodes – Coding Units”
Source: Own elaboration
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Looking at the Table 33 above, you may find a correspondence between each codification subject
and its fit within the sections of the CS guidebook.
6. CS Structure
6.1 CS General Description
Table 53 –Codification System (CS) – General Description
Basis of analysis Specifications
Evidence(s) Primary data
Origin Interview(s)
Unit of analysis (UAs) Interviews´ data
Type of content Manifest content
Content´s identification Informant-centric
Holder of content Insider-researcher(s) / (Participants - Pn)
Interview´s idiom Portuguese (PT)
Receptor of content
(interviewer)
Outsider-researcher
Object of codification Transcript(s)
Transcription Language Portuguese (PT) with retroversion to English (EN)
Transcription unbiased
procedures
- Retroversion (PT-EN)
- External assessment of retroversion
- Certification of the retroversion´s authenticity
(of the interview´s script, enquiries,
participants´ insights and the research ethics
form(s))
Tools of codification - Sound-recording device (Phillips voice tracer)
- Word document processor
- Computer-assisted qualitative data analysis
software (CAQDA)
Tools’ identification - Microsoft Word 2016
- Microsoft OneNote 2016;
- Atlas.Ti (version 1.16.0)
Tools´ files - Word-document(s)
- Podcast(s)
- Network diagram(s)
Files´ formats “.docx”; “.mp3”; and “.hpr7”
Codifier Outsider-researcher
Data analyst Outsider-researcher
Analytical procedure Miles and Huberman´s (2004) framework
Codification taxonomy Gioia´s (2009) framework; and Weber´s (1990)
Protocol
Component(s) Transcripts, files, coding frame, codification, and
cognitive mapping
Source: Own elaboration
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6.2 Coding Frame
The coding frame identifies the the whole architecture of the codification process according to the
theoretical frameworks followed (Weber, 1990; Miles and Huberman, 1994, Gioia, 2009).
Table 54 – Codification System (CS) – Coding Frame
Components Description
Coding frame Set of all components described bellow
Codifiable data Transcripts of interviews (appendix 6)
Coding Units Words, sentences and paragraphs
Codification levels 1st and 2nd order
Coding process – 1st order Practitioner-based language
Coding units of analysis – 2nd
order
Researcher-centric analytics
Codification categories Concepts, themes and dimensions
Codification rules Interrelationship between categories
Coding Outcome Cognitive mapping
Coding Outputs Network diagram, constructs´ identification and interrelations
Source: Own elaboration
6.3 Coding Units
The CAQDA Atlas.ti labels the coding units as quotations. These are bellow identified:
Table 55 – Codification System (CS) – Coding Units
Coding Units Description
Words The coding unit considers merely the verbal language of the
interviewees. It accounts, the set of separate words, numbers, signs,
acronyms, abbreviations and terms.
Sentences The coding unit considers merely the verbal language of the
interviewees. It accounts the set of separate phrases/sentences
completed/uncompleted, and finished with a sound pause.
Paragraphs The coding unit considers merely the verbal language of the
interviewees. It accounts the set of sentences that compose a
paragraph, a block of test, accounting the words, numbers, signs,
acronyms, abbreviations, terms, expressions, and/or the general
terminology employed by the participants.
Source: Own elaboration
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6.4. Coding Categories
Table 56 – Codification System (CS) – Coding Categories
Coding Categories Description
1. Concepts The first category of the codification system that makes use of whole
the coding units to interrelate the interviewees/participants
information at the research field. The “concept” category establishes
a link between the insider-researcher contribute and the theory on the
field, being the most elementary category of coding, associated with
the first-order coding.
2. Themes Second category that aggregates the content of the informants in the
academic literature according to the hierarchy of coding rules. As the
first level of second-order coding, it allows an analytical
contextualisation of the interviewees’ information in the research
main topic (and/or subfields) that incorporate the concepts,
constructs and frameworks.
3. Dimensions As the “Dimensions” are the third category it sums the themes and
concepts (of the previous categories) to raise the information of the
interviewees to an upper level of analysis within the second-order
coding. Provides a broad understanding of the reality, as the observed
phenomena contextualized in ample literature in the research field,
so that we may respond appropriately to the research questions, and
achieve the goals defined for this research.
Source: Own elaboration
6.5 Coding rules
The coding rules identify the 1st and 2nd order coding categories, and codes (and its descriptors) and
releationships between 1st and 2nd order codes. The codes are uniquely the ones perceived in the
hermeneutic units (HU) or transcripts, concerning the interviewee’s speech. All the phenomena not
observed within the HUs were not object of codification, as were not observed as codifiable
quotations within the text. The coding rules description provides an holistic view of the of the
correspondence of codes between levels, and subsequently, and a theoretical interdependence of the
concepts across levels.
Table 57 - Codification System (CS) – Coding Rules
Source 2nd order 1st order
Code Description Code Description
Hermeneutic
Units (UNs) -
Transcripts
DC
Dynamic Capabilities (First-
order organizational
capabilities)
DC-AC
DC-AdC
DC-AM
Absorptive capacity
Adaptative Capability
Alliance
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DC/ ELC
DC/ILC
DC/GDC
OP
OP/BLS
OP/CD
OP/CS
OP/EE
Entreprise-level Capabilities
Individual-level Capabilities
Global dynamic capabilities
Other Paradigms of
internationalization
Business-level strategies at
foreign market
Competitive differentiation
Cooperation Strategies
External environment
analysis
DC-CC
DC-EC
DC-EPC
DC-I/P
DC-IC
DC-IntC
DC-KC
DC-KR
DC-LC
DC-Le
DC-MC
DC-PDC
DC-KU
DC- MkC
DC-NC
DC-RC
DC-RwC
DC-R&DC
DC- T
DC-T-HQ-S
DC-T-S-S
DC-T-S-HQ
OP/BLS-C
OP/BLS-MaS
OP/BLS-MuS
OP/BLS-O
OP/CD/CPD
OP/CD-CG
OP/CD-GCC
OP-CD/MS
OP/CD-MC
OP/CD-M
OP/CD/M/MG
/D
OP/CD-
NCAD
OP/CD/OS
OP/CD/Po
Coordination
Entrepreneurial
Exercise of Power
Improvisation/Patching
Innovation
Integration
Knowledge creation
Knowledge Recombination
Learning capability
Leveraging
Managerial capability
Product Development
Knowledge Usage
Marketing Capability
Networking Capability
Reconfiguration Capability
Renewal capability
Research & Development
Transferability
Transferability HQ-S
TransferabilityS-S
Transferability S-HQ
Clustering
Managerial system(s)
Multisegmentation
Outsourcing
Cost/price differentiation
Governance differentiation
General cooperation
strategies
Managerial systems
differentiation
Managerial communication
Markets
Market growth
/diversification
National Comparative
advantage/disadvantage
Organizational Structure
differentiation
Portfolio differentiation
Administrative factors
Cultural factors
Economic factors
Environmental factors
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UM
UM-OM
UM-DM
U-Model
Original model
Descending models
OP/EE/AF
OP/EE/CF
OP/EE/EF
OP/EE/EnF
OP/EE/GF
OP/EE/LF
OP/EE/PF
OP/EE/SF
OP-GCS
UM-AC
UM-BN
UM-GD
UM-GdI
UM-MCM
UM-MKM
UM-NPM
UM-OD
UM-OL
UM-PD
UM-PDF
UM-RA
UM-RM-TB
Geographical factors
Legal Factors
Political factors
Social factors
Global cooperation
strategies
Absoprtive capacity
Business networking
Geographical distance
Gradualistic
Internationalization
Market commitment
Management
Market knowledge
management
Network position
management
Opportunity development
Organization learning
Path dependency
Psychic distance
Risk avoidance
Relationship management
and Trust-building
Source: Own elaboration
The table above (of the coding rules) contains trhe following codes:
Table 58 - Codification System (CS) - Summary of codes per level
2nd order 1st order
DC OP UM DC OP UM
Codification
Code/level
5
5
3
25
23
13
Source: Own elaboration
The whole CS system accounts74 codes, which 13 are from the second-order coding, and the
remaining 61 codes belong to first-coding level.
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6.6. Coding´s Semantic Networking
The 2nd order codification entailed the process of elevating the first order codes obtained from the
interviewees’ quotations, to a second-order coding level. As a research-centric approach, this
comprises a linkage with the observations to the theory, in a process where the outsider-researcher
immerses into a task of giving order to intial codes obtained from the informant-centric quotations.
Table 59 - Codification System (CS) - Coding links/Hyperlinks Procedure
Components Interrelationship Coding level
Type Description Tool
Quotations (Q)
Coding link/Hyperlink 1:1
Coding link/Hyperlink 1:multiple (1:m)
Coding link/Hyperlink m:1
Q:Q
Q:C
C:Q
Nodes 1st order – 1st order
1st oder – 2nd order
2nd order – 1st order;
intra 2nd order
Codes (C)
Source: Own elaboration
The semantic networking identifies several code links/hyperlinks between the above indicated
components (codes, quotations) in order to typify the nature of the linkage (e.g. Isa – Is a part of…;
IoT - Is opposite to….).
6.7 Coding scheme
The coding scheme presented bellow is an example of a manual coding scheme. However, should
be noticed that this research is conducted through a CAQDA system (Atlas.Ti software).
Table 60 - Codification System (CS) – Coding scheme
Interviewees´ Information Cat. 1 Cat. 2
No. Description Rastreability Code Identification Code Identification
(Examples):
UA1 Interview no. 1 Quotation 15:2 PD Psychic distance UM U-model
UA4 Interview no. 4 Quotation 3:1 Pa Patching DC Dynamic
capability
Source: Own elaboration
The application of the coding scheme in the effective data mapping it is exhibited in the structure of
the thesis. Likewise, the analysis of results of frequency, and co-occurence, hierarchy and types of
nodes and its analytical reflection and diagrammatic network representation is similarly presented in
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the thesis. Contrarily, the testing of coding in simulative text for refinement of the coding frame is a
tier disregarded explicitly in the thesis, as we applied this phase to verify the reliability of the coding
system, although its results are simulative and therefore not pertinent, and could hamper the work of
the reviewers of this research.
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Appendix 3 – Measurement Units and Scales of secondary data
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1. Scales and Measurement Units
1.1. Scale of geographical distance (GD)
Table 61 - Descriptors of the GD Scale
Criteria (Y/N)
Level Classification Identification Prim. Secon. Descriptor Example
5 Very-high
GD
countries with very
high geographical
proximity
Y N Countries with physical borders Spain
4 High GD countries with high
geographical
proximity
N Y Neighbor country with no
physical border, but with relative
proximity due to its presence in
the same administrative region of
the globe, and/or possessing a
maritime border (Euro-zone
Member-State; Other U.E.
Member-State; Maghreb
countries of North Africa);
France
Morocco
3 Medium GD countries with
moderate
geographical
proximity
N Countries with physical borders
to the neighbor countries
categorized as high proximity
Russia
2 Low GD countries with high
geographical
distance
N Rest of countries without
physical and/or maritime borders
and/or without physical borders
to the neighborhood physical
borders, in the same
administrative region of the
globe (Europe and Africa)
Armenia
1 Very-low
GD
countries with very
high geographical
distance
N Rest of the countries in the world Angola
Source: Own elaboration
1.1.1. Caption of the Scale:
(VH): Countries with physical border.
(H): Neighbor country with no physical border, but with relative proximity due to its presence in the
same administrative region of the globe, and/or possessing a maritime border (Euro-zone Member-
State; Other U.E. Member-State; Maghreb countries of North Africa);
(M): High proximity countries with physical borders, to the neighbor/VH countries.
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(ML): Rest of countries in the without physical and/or maritime borders and/or without neighborhood
physical borders, in the same administrative region of the globe (Europe and Africa)
(L): Rest of the countries in the world
1.1.2 Measurement Criteria:
- (Primary): Physical border
- (Secondary - by order of relevance): neighborhood country of the one(s) with physical border,
and/or with maritime border
1.2. Scale of Psychic Distance (PD)
Table 62 - Descriptors of the PD Scale
Criteria (Y/N)
Level Classification Identification Prime Secon. Descriptor Example
5 Very-high
PD
Countries belonging to
CPLP/PALOP Member-
State
Y Y Highest formal
cultural engagement
with Portuguese
Republic; high
vestiges of (historical)
physical and symbolic
dominance of the
Lusophone culture
Brazil
4 High PD Countries belonging to
E.U. Member State
(countries not
categorized in the
previous category)
Y N High formal cultural
engagement with
Portuguese Republic;
low or null vestiges of
(historical) physical
and symbolic
dominance of the
Lusophone culture
Germany
3 Medium PD Countries belonging to
the Ibero-American
Community of Nations
(countries not
categorized in the
previous categories)
Y N Low formal cultural
engagement with
Portuguese Republic;
low or null vestiges of
(historical) physical
and symbolic
dominance of the
Lusophone culture
Mexico
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2 Low PD Other countries either
ex-colonies
and/or with physical
/symbolic traits of the
Portuguese culture, not
accounting the citizens
migrations and the
Portuguese Diaspora
(countries not
categorized in the
previous categories)
Low or null formal
cultural engagement
with Portuguese
Republic
Low vestiges of
(historical) physical
and symbolic
dominance of the
Lusophone culture
East Timor
Mauritius
1 Very-low PD Other countries (not
categorized in the
previous categories)
Very low or null
formal cultural
engagement with
Portuguese Republic;
low or null vestiges of
(historical) physical
and symbolic
dominance of the
Lusophone culture.
The construct of
inter-culturalism
Canada
Source: Own elaboration
1.2. 1.Measurement Criteria
The measurement criteria for classifying the countries in PD construct are:
- Primary: Formal engagement with Portuguese Republic
- Secondary: Vestiges of (historical) physical and symbolic dominance of the Lusophone culture.
The construct of inter-culturalism
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Appendix 4– Word clouding - frequencies for the 1st-order coding category (concepts)
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Table 63 - Word clouding per dimension (2nd-order codes) and concept (1st-order codes)
Coding Unit Dimension code(s) Firm
(2nd-order (1st-order) F1 F2 F3 F4
absorb DC; UM DC-AC; UM-AC 2 9 0 0
adapt DC DC-AdC 15 28 2 2
advantage OP OP-CD 6 19 10 3
commit UM UM-MCM 3 24 0 0
communicat OP UM/CD-MS 2 1 0 1
cluster OP OP-C 1 2 0 0
competence OP OP-CC 55 33 31 7
cost OP OP/CD-PC 51 11 8 7
depend UM UM-PD 8 16 2 0
develop DC DC-RD 53 15 13 20
differentiat OP OP/CD 27 2 4 3
distance UM UM-GD 18 11 11 3
diversificat OP OP/CD-M-MG/D 11 4 3 4
governance OP OP/CD-CG 3 1 2 0
grow OP OP/CD/M-MG/D 9 2 3 2
innovat DC DC-IC 7 4 1 0
know DC; UM DC-KU; DC-KR; UM-MKM 52 18 11 5
learn DC; UM DC-LC; UM-OL 5 2 2 0
leverage DC DC-Le 3 1 1 0
manage DC DC-MC 64 25 29 0
market DC DC-MC 17 3 7 5
networks DC; UM DC-NC; UM-BN 36 4 23 2
opportunit UM UM-OD 45 11 12 7
outsource OP OP/CD-O 1 0 0 0
position UM UM-NPM 25 4 5 13
power UM UM-EP 10 3 0 3
price OP OP/CD-PC 39 23 20 1
proximity UM UM-GD 5 4 6 4
relation UM UM-RMT 35 6 11 1
renew DC DC-RC 2 0 1 0
research DC DC-RD 15 6 3 2
risk UM UM-RA 28 12 7 6
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segment OP OP/CD-MS 12 5 3 1
structure OP OP/CD-OS 3 1 2 3
system OP OP/CD-MS 3 1 3 1
transfer DC DC-T 32 4 16 1
Source: Own elaboration
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Appendix 5 – Cooc Matrices (DC/OP/UM)
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Table 64 - Cooc Matrix (F1-F4): DC-UM
Factor UM-AC UM/BN UM/GD UM-GdI UM-MC UM-MK UM-NP UM-OD UM-OL UM-PD UM-PDF UM-RA UM-RM-TB
DC-AC 2 0 0 0 0 0 0 0 1 0 0 0 1
DC-AdC 0 1 0 0 0 0 0 2 0 0 0 0 1
DC-AMC 0 4 0 0 1 1 4 4 0 0 0 1 8
DC-CC 0 1 0 0 0 1 0 0 1 0 0 1 0
DC-D 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-EC 0 1 0 0 0 0 0 1 0 0 0 0 0
DC-EPC 0 1 0 0 0 0 2 0 0 0 0 0 0
DC-I/P 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-InoC 0 0 0 0 0 0 0 2 0 0 0 0 0
DC-IntC 0 1 0 0 0 0 0 0 1 0 0 0 0
DC-KC 0 1 0 0 0 0 0 0 1 0 0 0 0
DC-KR 0 0 0 0 0 0 0 0 0 1 0 0 0
DC-KU 0 1 0 0 1 2 0 1 0 1 0 0 1
DC-LC 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-Le 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-MC 0 1 0 0 0 1 0 0 1 0 0 0 0
DC-MkC 1 2 0 0 2 3 2 6 2 0 0 0 5
DC-NC 1 3 0 0 1 1 4 3 0 0 0 0 6
DC-PDC 0 1 0 0 0 0 0 3 0 0 0 0 1
DC-RC 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-RwC 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-R&DC 0 1 0 0 0 1 0 3 1 0 0 0 2
DC/ELC 0 4 0 0 0 1 4 3 1 0 0 1 2
DC/GDC 1 4 0 0 0 0 3 4 1 0 0 0 4
DC-ILC 1 3 0 0 1 1 1 3 1 0 0 0 5
DC/Mu 0 0 0 0 0 0 0 0 0 0 0 0 0
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DC/T 0 1 0 0 0 2 0 0 1 0 0 0 0
DC/T-HQ-S 0 1 0 0 0 0 0 0 1 0 0 0 0
DC/T-S-S 0 1 0 0 0 0 0 0 1 0 0 0 0
Source: Own elaboration
Table 65 - Cooc Matrix (F1-F4): OP -UM
Factor UM-AC UM/BN UM/GD UM-GdI UM-MC UM-MK UM-NP UM-OD UM-OL UM-PD UM/PDF UM-RA UM/RM-TB
BLS-C 0 1 0 0 0 0 0 2 0 0 0 0 0
BLS 0 2 1 2 0 0 2 2 0 0 1 4 2
BLS-O 0 0 0 0 0 0 0 0 0 0 0 0 0
BLS/MaS 0 0 0 2 0 1 0 0 0 0 0 0 0
BLS/MuS 0 0 0 0 0 0 0 0 0 0 0 0 0
CD/CCO 0 0 0 0 0 1 0 0 1 0 0 1 1
CD/CC-TC 0 0 0 0 0 1 0 0 1 0 0 0 1
CD 0 1 0 0 0 0 0 0 0 0 0 1 2
CD-CPC 0 0 3 0 0 0 0 2 0 0 0 3 0
CD/CG 0 0 0 0 0 1 0 1 0 0 0 1 0
CD/MS 0 0 0 1 0 1 0 0 0 0 0 1 0
CD/MC 0 0 0 0 0 0 0 0 0 0 0 0 0
CD/Ms 0 0 3 1 0 0 0 1 0 0 0 1 0
CD/M-
MG/D 0 1 1 1 0 0 2 1 0 0 2 1 1
CD/NCAD 0 0 0 0 0 0 0 0 0 0 0 0 0
CD/OS 0 0 0 0 0 1 0 1 0 0 0 1 0
CD/Po 0 1 2 0 0 0 0 2 0 0 0 0 1
CLS 0 0 0 0 0 0 0 0 0 0 0 0 0
CLS/CG 0 0 0 0 0 0 0 0 0 0 0 0 0
CLS/CG/MS 0 0 0 0 0 0 0 0 0 0 0 0 0
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EE/AF 0 0 0 0 0 0 0 0 0 0 0 0 0
EE-CF 0 1 0 1 0 0 1 0 0 0 1 0 0
EEA/MA 0 0 0 0 0 0 0 0 0 0 0 0 0
EE/EcF 0 0 1 0 0 0 0 1 0 0 0 3 0
EE/LF 0 0 1 0 0 0 0 0 0 0 0 0 0
EE/PF 0 0 0 0 0 0 0 0 0 0 0 0 0
EE/SF 0 0 0 0 0 0 0 0 0 0 0 0 0
EE/EnF 0 0 0 0 0 0 0 0 0 0 0 0 0
EE-GF 0 0 0 0 0 0 0 0 0 0 0 0 0
GCS 0 3 0 0 0 0 1 1 0 0 0 0 1
Source: Own elaboration
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Table 66- Cooc Matrix (DC/OP)
BLS CD CS CLS EEA
c
BL
S
O
MaS
Mu
S
CC
O
CC
CD
CG
MS
MC
MS
M-M
G/D
OS
/Po
CP
C
NC
AD
GC
S
CL
S
CG
CG
-MS
EE
/AF
EE
-CF
EE
A/M
A
EE
/EcF
EE
/LF
EE
/PF
EE
/SF
EE
/En
F
EE
-GF
DC-AC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-AdC 0 0 0 0 0 0 0 1 0 1 0 0 0 0 2 0 0 1 0 0 0 1 1 0 0 1 0 0 0 0
DC-AMC 1 3 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-CC 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-EC 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-EPC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-I/P 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-InoC 0 0 0 0 1 0 1 0 0 0 0 0 0 1 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-IntC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-KR 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-Le 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-MC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-PDC 0 0 0 0 0 0 1 0 0 1 0 0 0 0 6 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0
DC-D 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-KU 0 0 0 0 0 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-MkC 1 0 0 0 0 1 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-NC 0 3 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0
DC-RC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-RwC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-R&DC 0 0 0 0 0 2 2 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
DC/ELC 1 1 0 0 1 0 1 0 0 1 0 1 1 0 4 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0
DC/GDC 1 1 0 0 0 0 0 0 0 1 0 0 1 0 5 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0
DC-ILC 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
DC/Mu 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC/T 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC/T-HQ-S 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC/T-S-S 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC/T-S-HQ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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DC-KC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DC-LC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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Appendix 6 – Synopsis of interviews (UA1-UA7)
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INTERVIEW NUMBER ONE
UA ID: UA4
Participant ID: P4
Date: 07/07/2017
Hour: 17h00
Duration: 1h05m
Prior historical or cultural bonds to certain markets are a minor factor of foreign markets
establishment. The company seems to be more attemptive to other issues as risk-avoindance
(identified as the critical one) and opportunity development.The international strategy of the
firm is focused towards their current clients with favorable credit ranking which in turn, allow
the company to finance itself through them. Here, it is currently centered upon framework
contracts (from 4 to 8 years) whom deliver stable orders and the fulfillment of cashflow
requirements and economic-financial commitments.
The company's strategy it is to have at least 60 or 70 percent of their turnover based on high-
end customers with higher certainty of honoring their payment commitments, since the industry
is a capital-intensive one with high cost of raw materials and extended cycles of payments
(between the moment of acquisition of raw material and invoicing is long - between 3 to 6
months). It was also refered that price competition is unavoidable in the international markets
and the strategy of the firm accomodates a thorough study of each market and customers. The
level of difficulty of entry into high-efficiency markets such as the UK is medium high, being
slow its penetration, especially in institutional clients who are in average from 2 to 4 years. In
parallel, it was mentioned that Portugal is a peripheral country by the sea, with favorable
conditions of accessibility to seaports and shipping containers in more distant markets and with
a good quality national road infrastructure and connectivity for freight transport; however, it
was underlined the costs related to logistics and transports and therefore the economies of scale
were pointed as especially important in order to mitigate the effect of the loss of gross margins
on business related to the extraordinary logistical costs of the periphery of the company. The
interviewee refered that “distance is an important factor. The cost of freight logistics can have
a strong influence on the selling price in international business and on average can represent
8 to 15 percent of the final price for one of our main markets like the UK; however, for markets
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that are more distant the logistics costs may fall depending on the route, volume, and type of
transport, and are equivalent to the same costs for UK. It seems bizarre but it is the reality”.
The business networking diligences towards international markets were pointed as casual and
involving agreements with national/international authorities such as the AICEP and CIGRE.
Moreover, it was refered that the company possesses critical competences related with the
quality control of the materials and industrial research and development of new products in
wiring for the transportation of aerial and underground energy. The interviewee mentioned that
R&D is mainly solution-oriented research with a focus on finding solutions for specific
problems raised by clients in technical terms. Regarding the structure and governance of the
firm the interviewee indicated that the firm possesses a light structure and adopts a proximity
policy of the top management to the the rest of the organization, which is perceived as beneficial
to achieve agile decision-making, better/faster problem solving and opportunity exploitation.
INTERVIEW NUMBER TWO
UA ID: UA2
Participant ID: P2
Date: 07/07/2017
Hour: 12h00
Duration: 39m
In the past the company had a focus on Portuguese-speaking countries (e.g. Angola and Brazil)
but nowadays the strategy of internationalization is concetration of the operations towards
countries of higher geographical proximity in the markets of south-west Europe, such as, Spain,
France, Italy, and North Africa, despite exporting (spot sales) throughout the world, since the
decision-makers perceive that the headquarters´ location does not inhibit its globalization
process.
The shift for internationalization for geographical proximity was to achieve higher
competitiveness. The geography criterion has to do with the factor cost, logistics and
displacement. The top-management argues that the company is more competitive in proximity
markets, despite the location of the production facilities in Portugal and the cost of scale.
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The company is a medium-sized firm with great flexibility (unlike the main multinational
competitors at global scale) and fast decision-making. This feature (flexibility) derives from the
dimension, internal communication and proximity to top-management. Organizational
flexibility allows higher levels of adaptation and resource usage efficency which is observed in
its outputs: the design of new products, and also to capacity to attend very specific requirements
placed on contracting procedures.
The communication among subsidiaries reveal disarticulation, being particularly identified by
the interviewee the urge for a governane mechanism for opening and controlling social
exchange practices and knowledge generation. Thus it was refered that currently each
subsidiary director or market manager implements in a solo mode his/her business-level and
functional strategies per se. The interviewee defended an integration and collectivization of this
work practices to allow the development of business in a far more quick and/or efficiently
manner. Complementarily, the onus of opportunity development is market specific and
circumscribed to the sphere of responsibility of each manager at his/her market thresholds
(single host-market manager) instead of a common cooperative task shared by markets-
managers. On the value chain, the dispatchment of goods as a critical activity is centrally
managed despite the operational part is runned through a sourcing system. Subcontracting does
not invalidate the existence of an operation that is mainly verticalized, in which the value chain
is commanded directly by the company.
The company reveals the possession of multiple capabilities mostly at the technical areas. At
the technostructure these competences are related with risk analysis, quality auditing,
production planning, and coordination of flows of resources-sharing between subsidiaries
(e.g.laboratory means for testing, or subcontracting external labs). At the operational apex is
related to engineering with great capacity in the metallurgical area of aluminum for the ingots
production, for electrical purposes for the production of the alloys. The latter is pure expertise
that is distinctive in competitive terms and allows the firm to “cook” the final product along the
whole value chain using a backward strategy. Personal networking is well explored at
individual-level, however, the exploration of the firm's personal networking is a competitive
tool that is not systematized across markets.
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INTERVIEW NUMBER THREE
UA ID: UA5
Participant ID: P5
Date: 07/07/2017
Hour: 19h00
Duration: 52m
The interviewee recognizes that the international positioning of the firm is oriented by cultural
affinity, and language plus cultural relationship with the host-markets, combined with the
intentional development of businesses opportunities. Here, occasional diligencies are
undertaken through the networking capabilities of the firm to extend the opportunity
exploration possibilities (e.g. links to embassies, AICEP and chambers of commerce).
The company has a market expansion strategy making use of their portfolio differentiation
potential against local competitors. The company is focused on the production of cables with
higher added value, with greater margins and more competitive in other markets. Therefore, in
Latin America the long-term contracts are mainly with electrical companies (owned by Spanish
corporations). The regular contracts are settled for 2 to 6 years and the geographical scope of
the firm is Latin American markets of Portuguese and Spanish language and these are combined
with spot operations with electrical installers or contractors. Despite the differentiation strategy,
the firm reveals a great concern with price competition, as perceived in the interviewee´s
speech: “…in order to be competitive, nobody will buy us a product for a more expensive price.
So what we struggle in the private sector with the big installers is to have the commercial
opportunity to track the price, and offer it slightly below if necessary to be awarded with an
order… it is fundamental for us to guarantee a market position where we have the last call or
first refuse in an order”. This may only be achieved through the usage of an intangible resource
of the firm, as argued by the interviewee: the ability to build long-lasting relations of trust with
clients.
The interviewee has also claimed the possession of capabilities which deliver a favorable
competitive position in the overseas markets. Their portfolio-related capabilities exhibit first-
moving advantages (e.g. only cable manufacturer for 220 kva and 182 kva). In parallel, the
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company demonstrates a path dependency track and organization learning capabilities in the
industry, since the interviewee refered that the firm evolved from an initial business strategy as
a general cable producer (e.g. V-wires, copper wires, and telephone wires) to a specialized
electrical cable producer. Despite the specialization in electrical cables in some circumstances
their portfolio encompasses a range of products that is bigger than the big-multinationals in this
industry (e.g. in low, medium and high tension - possession of insulated cables combined with
bare cables production, alloy cables, OPGW cables with fiber optics, aluminum-steel cables
and naked cables). Deespite the portfolio wideness as a differentiation factor againt other
competitors, it has also been pointed out the organizational structure and management systems
as complementary tools of differentiation and reinforcement of market positioning. Since the
orders from several markets are highly dependent on the production of few production facilities
located in Portugal for achieving higher economies of scale, then the decisions are also highly
centralized, but simultaneously less rigid and decisions are taken in a fast manner. The
interviewee points out their functional-level and technical-level differentiating structure
opposing to the biggest multinationals in this industry, as follows: “…in a large multinational,
no one dares to stop the production planning by an urgency of a customer. Here the situations
are more controllable. The fact is that, we have centralized production facilities …we have a
faster decision-making process, added to the fact that in our structure, unlike in the big
multinationals, you can speak directly to the top management, which is something unthinkable
in a large multinational, for example, a customer calling and talking to the director directly”.
At technical-level differentiation it is refered the example of the new products such, medium-
voltage cables at higher quality and lower cost in cables of aluminum (replacing the multi-wires
with a single solid cable with the same capacity of transport in a smaller diameter).
Regarding competences possession and transference, two notes should be noticed that the
interviewee identifies the networking capacity for managing interpersonal relations with clients
as one of the key-assets of the firm, and secondly refered that competences are transferred
across markets. Here it explained that the transference process occurs mostly with exchange of
work practices and methodologies
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INTERVIEW NUMBER FOUR
UA ID: UA6
Participant ID: P6
Date: 10/07/2017
Hour: 10h30
Duration: 52m
The company has a corporate strategy of market expansion through the establishment of
relationships with local partners and through the exploration of opportunities. It combines
differentiation (new product development) with price competition. The selection of foreign
markets accounts geographical proximity, as logistic costs are an important part of the
composition of prices, as explained: “ Often we offer ex-works prices so that our customers
realize that our price is rather competitive, what happens is that we are at the end of Europe”.
Simultaneously, it is observed the psych distance phenomenon as the firm reveals “affinity” for
Spanish-speaking countries.
Personal networking is one capability the firm values and exploits the most, mainly
circumscribed to local agents´ management and customer relationship management; however,
the company also uses networking with the purpose of business opportunity development (e.g.
it has a protocol with CERNE; it integrates several governmental State visits and it has
institutional relations with AICEP). Nevertheless, inside of the firm is perceived a lack of intra-
subsidiaries/markets networking. Here, the firm demands an (intra-market) commercial
coordination system.
The main capabilities of the firm are the following: the coordination of local agents, language
skills, and technical competences. The latter ones (technical competences) are in field of steel
foundry, which is a differentiating factor of competitive advantage, as described by the
interviewee: “we make the product itself, without being dependent on the purchase of aluminum
abroad, because we buy ingot/bar and we transform it into metal rod, to make be able to
produce our final product. There are companies in Portugal and abroad that do not have this
kind of competences and therefore have to buy them out there.” The company does not possess
formalized mechanisms of transference of competences between markets, which in turn, creates
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a division between countries, since each country has its own standard, product and designation.
Although, competences are transferred but not in a systematized manner (e.g. transference of
capabilities related to business intelligence, R&D, and homologation of new products).
INTERVIEW NUMBER FIVE
UA ID: UA7
Participant ID: P7
Date: 10/07/2017
Hour: 10h00
Duration: 36m
The company applies a hybrid business-level strategy with a large component of cost
leadership. The strategy of internationalization lies upon internal networking at the corporation
and balances opportunity development with risk-taking. Basically, the strategy of
internationalization is “go to trailer” of the other companies of the corporation in the steel
industry, as the manufacturer of steel packaging. Casuistic external networking is observed,
for example with organisations as IAPMEI and EDP. The company perceives itself as an
indirect exporter, seeking economies of scale through the concentration of their production in
fewer units at the local market (Portugal) for gaining economies of scale. In this sense, the
company makes use of cooperation strategies - internal strategic allies – and follows the general
typology of international establishment of the corporation. This is a gradualistic market
expansion highly influenced by the geographical proximity factor. The geographically-related
competition overseas is influenced by the grographical periphery of the country and the
economic periphery of the industry with a surplus of logistic costs to export from the local
market to other State-members in Europe materialized in a competitive disadvantage.
This is a risk-avoiding organization operating in international trade only with securitized
operations. The company is reluctant to markets of higher geographical proximity with high
perception of risk or unbearable risk. Thus, market attractiveness may be relegated to second
plan in accordance to risk-level perception.
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The company reveals lower economies of scale at inbound logistics activities at the acquisition
of raw materials against the big multinationals and therefore a competitive disadvantage for
thoese ones. Another disadvantage is related with the phenomenon of economic periphery, as
described by the interviewee: “another disadvantage has to do with the effective size of the
market, not just the geographic dimension”. Thus, the main circunstancialism for being in
Portugal deliver disadvantages to the firm related to the country location, dimension and other
factor conditions, as mentioned by the interviewee: “…not only because of the distance to the
large reception center of materials, but also because of the lack of public policies to support
the industrial activity that exist in other countries. For example, differentiated prices that are
more advantageous for large energy consumers, whether electricity or natural gas, which is
our case the latter, and we cope with unit energy costs much higher than the unit energy costs
that our competitors have in the center from Europe”.
The company is an international business opportunities-seeker. It pursues national
homologations and product certifications prior the market entry phase in longlasting processes
(that take from four to five years) and search in advance for valid partning companies in the
market. The question of opportunities research accentuates an internal philosophy of
assertiveness of the range of products for each market of local portfolio adaptation and a tailored
approach to potential customers.
INTERVIEW NUMBER SIX
UA ID: UA3
Participant ID: P3
Date: 10/07/2017
Hour: 16h30
Duration: 39m
A corporate-level strategy of growth related to market expansion is the realized strategy
followed by the current board of directors. This strategy is followed to accomodate eventual
losses deriving from (market and client) risks in the overall of the competing markets. At
business-level a hybrid strategy is followed articulating cost efficency and innovation on their
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portfolio of products. The firm adopts a narrow scope of competition focusing on a single
business segment: power cables production although with specific goals per product/market.
The internationalization strategy exibits the adherence to the multidomestic paradigm.
Internationalization is affected by the geographical proximity factor, due to the economic
perificity of the country (size and location of land; and effective size of the industry) as
described by the interviewee: “We are located in the western extremity of Europe, pushed here
a little bit to the United States, and this is for us a factor of loss of competitiveness. You will
easily understand that if we are selling to the center of Europe, our competitiveness in terms of
logistics costs compared to a local French supplier or German is completely different. We have
to travel a route, with the subsequent impact, in terms of costs and in terms of time, and delivery
times are clearly unfavorable to us. This disfavor has two components, the commercial part of
sale but also the purchase, because our suppliers of materials that we are located in the Center
of Europe when they put us a product here also have logistical costs added which increases the
purchase prices of our compared to other competitors. Therefore, we have a surplus of
peripheral costs in relation to the main centers of decision of purchase and reception of
orders.”
Firm is a risk-avoider preferring framework contracts instead of spot sales, and having regular
suppliers. In terms of resources and capabilities, the company it has technical equipment and e
know-how in the field of aluminium alloy conductors (not accessible to most competitors) and
conductors of medium high and very high voltage for undertaking activities of R&D, production
and launching of new products, plus marketing and networking capabilities. In addition, a
curriculum in this latter mentioned competences of aluminium alloy conductors also denotes a
a sort of path dependency and organization learning/evolution which delivers business
competitiveness. The transference of capabilities is described as mainly mono-directional in its
majority from the domestic-market to host-markets (but also occurs bi-directionality).
Normally, the transference involves quality standards, manufacturing processes and
methodologies, despite differences of product portfolio from a market to another market.
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INTERVIEW NUMBER SEVEN
UA ID: UA1
Participant ID: P1
Date: 11/07/2017
Hour: 12h00
Duration: 25m
A hybrid model is adopted combining cost efficency and differentiation. In this sense, the
internationalization of the firm is dictated by a geographical-proximity driver (preference for
markets as the southwest of Europe and European Union) and it is argued that no psychic
distance approach is followed. An opportunistic approach to other markets may be also
followed. However, at the extra-EU markets the currency exchange fluctuation is a determinant
of the capacity to exploit a certain opportunity. In situations of high valorization of the euro
against the dollar, these opportunity markets are no longer accessible. Logistic costs make also
more distant markets less accessible. The internationalization strategy encompasses the
establishment of long-term relationships with clients, due to the volatility of the foreign
exchange markets. Furthermore, the firm focus on a niche strategy for a specific set of electrical
cable production: the high voltage underground cables, due to the fact that fewer competitiors
are qualified to produce it.
The traceability of opportunities is made by e-business platforms and through local presence of
sales clerks, while the main capabilities of the firm are the networking capability focused on
the management of interpersonal relations with clients and technical competencies in the
research and development of laboratory testing of alternative materials or production techniques
that enrich the final product. The combined usage of these capabilities (networking and R&D)
allows the firm to undertake solution-oriented research for specific needs of the customers,
which in turn, which guarantees some first-moving and reputational advantage over
competition.
The interviewee recognizes that in terms of capability transference this flows are not
systematized and/or managed in a formalized manner. Capabilities are made available
according to the perception of need of the subsidiaries/markets. The firm did not implement a
managerial system for managing these processes of mobility, transference and/or
morphological exchange.